airflow.contrib.operators.gcp_sql_operator
¶
Module Contents¶
-
class
airflow.contrib.operators.gcp_sql_operator.
CloudSqlBaseOperator
(instance, project_id=None, gcp_conn_id='google_cloud_default', api_version='v1beta4', *args, **kwargs)[source]¶ Bases:
airflow.models.BaseOperator
Abstract base operator for Google Cloud SQL operators to inherit from.
- Parameters
instance (str) – Cloud SQL instance ID. This does not include the project ID.
project_id (str) – Optional, Google Cloud Platform Project ID. f set to None or missing, the default project_id from the GCP connection is used.
gcp_conn_id (str) – The connection ID used to connect to Google Cloud Platform.
api_version (str) – API version used (e.g. v1beta4).
-
class
airflow.contrib.operators.gcp_sql_operator.
CloudSqlInstanceCreateOperator
(body, instance, project_id=None, gcp_conn_id='google_cloud_default', api_version='v1beta4', validate_body=True, *args, **kwargs)[source]¶ Bases:
airflow.contrib.operators.gcp_sql_operator.CloudSqlBaseOperator
Creates a new Cloud SQL instance. If an instance with the same name exists, no action will be taken and the operator will succeed.
See also
For more information on how to use this operator, take a look at the guide: CloudSqlInstanceCreateOperator
- Parameters
body (dict) – Body required by the Cloud SQL insert API, as described in https://cloud.google.com/sql/docs/mysql/admin-api/v1beta4/instances/insert #request-body
instance (str) – Cloud SQL instance ID. This does not include the project ID.
project_id (str) – Optional, Google Cloud Platform Project ID. If set to None or missing, the default project_id from the GCP connection is used.
gcp_conn_id (str) – The connection ID used to connect to Google Cloud Platform.
api_version (str) – API version used (e.g. v1beta4).
validate_body (bool) – True if body should be validated, False otherwise.
-
class
airflow.contrib.operators.gcp_sql_operator.
CloudSqlInstancePatchOperator
(body, instance, project_id=None, gcp_conn_id='google_cloud_default', api_version='v1beta4', *args, **kwargs)[source]¶ Bases:
airflow.contrib.operators.gcp_sql_operator.CloudSqlBaseOperator
Updates settings of a Cloud SQL instance.
Caution: This is a partial update, so only included values for the settings will be updated.
In the request body, supply the relevant portions of an instance resource, according to the rules of patch semantics. https://cloud.google.com/sql/docs/mysql/admin-api/how-tos/performance#patch
See also
For more information on how to use this operator, take a look at the guide: CloudSqlInstancePatchOperator
- Parameters
body (dict) – Body required by the Cloud SQL patch API, as described in https://cloud.google.com/sql/docs/mysql/admin-api/v1beta4/instances/patch#request-body
instance (str) – Cloud SQL instance ID. This does not include the project ID.
project_id (str) – Optional, Google Cloud Platform Project ID. If set to None or missing, the default project_id from the GCP connection is used.
gcp_conn_id (str) – The connection ID used to connect to Google Cloud Platform.
api_version (str) – API version used (e.g. v1beta4).
-
class
airflow.contrib.operators.gcp_sql_operator.
CloudSqlInstanceDeleteOperator
(instance, project_id=None, gcp_conn_id='google_cloud_default', api_version='v1beta4', *args, **kwargs)[source]¶ Bases:
airflow.contrib.operators.gcp_sql_operator.CloudSqlBaseOperator
Deletes a Cloud SQL instance.
See also
For more information on how to use this operator, take a look at the guide: CloudSqlInstanceDeleteOperator
- Parameters
instance (str) – Cloud SQL instance ID. This does not include the project ID.
project_id (str) – Optional, Google Cloud Platform Project ID. If set to None or missing, the default project_id from the GCP connection is used.
gcp_conn_id (str) – The connection ID used to connect to Google Cloud Platform.
api_version (str) – API version used (e.g. v1beta4).
-
class
airflow.contrib.operators.gcp_sql_operator.
CloudSqlInstanceDatabaseCreateOperator
(instance, body, project_id=None, gcp_conn_id='google_cloud_default', api_version='v1beta4', validate_body=True, *args, **kwargs)[source]¶ Bases:
airflow.contrib.operators.gcp_sql_operator.CloudSqlBaseOperator
Creates a new database inside a Cloud SQL instance.
See also
For more information on how to use this operator, take a look at the guide: CloudSqlInstanceDatabaseCreateOperator
- Parameters
instance (str) – Database instance ID. This does not include the project ID.
body (dict) – The request body, as described in https://cloud.google.com/sql/docs/mysql/admin-api/v1beta4/databases/insert#request-body
project_id (str) – Optional, Google Cloud Platform Project ID. If set to None or missing, the default project_id from the GCP connection is used.
gcp_conn_id (str) – The connection ID used to connect to Google Cloud Platform.
api_version (str) – API version used (e.g. v1beta4).
validate_body (bool) – Whether the body should be validated. Defaults to True.
-
class
airflow.contrib.operators.gcp_sql_operator.
CloudSqlInstanceDatabasePatchOperator
(instance, database, body, project_id=None, gcp_conn_id='google_cloud_default', api_version='v1beta4', validate_body=True, *args, **kwargs)[source]¶ Bases:
airflow.contrib.operators.gcp_sql_operator.CloudSqlBaseOperator
Updates a resource containing information about a database inside a Cloud SQL instance using patch semantics. See: https://cloud.google.com/sql/docs/mysql/admin-api/how-tos/performance#patch
See also
For more information on how to use this operator, take a look at the guide: CloudSqlInstanceDatabasePatchOperator
- Parameters
instance (str) – Database instance ID. This does not include the project ID.
database (str) – Name of the database to be updated in the instance.
body (dict) – The request body, as described in https://cloud.google.com/sql/docs/mysql/admin-api/v1beta4/databases/patch#request-body
project_id (str) – Optional, Google Cloud Platform Project ID.
gcp_conn_id (str) – The connection ID used to connect to Google Cloud Platform.
api_version (str) – API version used (e.g. v1beta4).
validate_body (bool) – Whether the body should be validated. Defaults to True.
-
class
airflow.contrib.operators.gcp_sql_operator.
CloudSqlInstanceDatabaseDeleteOperator
(instance, database, project_id=None, gcp_conn_id='google_cloud_default', api_version='v1beta4', *args, **kwargs)[source]¶ Bases:
airflow.contrib.operators.gcp_sql_operator.CloudSqlBaseOperator
Deletes a database from a Cloud SQL instance.
See also
For more information on how to use this operator, take a look at the guide: CloudSqlInstanceDatabaseDeleteOperator
- Parameters
instance (str) – Database instance ID. This does not include the project ID.
database (str) – Name of the database to be deleted in the instance.
project_id (str) – Optional, Google Cloud Platform Project ID. If set to None or missing, the default project_id from the GCP connection is used.
gcp_conn_id (str) – The connection ID used to connect to Google Cloud Platform.
api_version (str) – API version used (e.g. v1beta4).
-
class
airflow.contrib.operators.gcp_sql_operator.
CloudSqlInstanceExportOperator
(instance, body, project_id=None, gcp_conn_id='google_cloud_default', api_version='v1beta4', validate_body=True, *args, **kwargs)[source]¶ Bases:
airflow.contrib.operators.gcp_sql_operator.CloudSqlBaseOperator
Exports data from a Cloud SQL instance to a Cloud Storage bucket as a SQL dump or CSV file.
Note: This operator is idempotent. If executed multiple times with the same export file URI, the export file in GCS will simply be overridden.
See also
For more information on how to use this operator, take a look at the guide: CloudSqlInstanceImportOperator
- Parameters
instance (str) – Cloud SQL instance ID. This does not include the project ID.
body (dict) – The request body, as described in https://cloud.google.com/sql/docs/mysql/admin-api/v1beta4/instances/export#request-body
project_id (str) – Optional, Google Cloud Platform Project ID. If set to None or missing, the default project_id from the GCP connection is used.
gcp_conn_id (str) – The connection ID used to connect to Google Cloud Platform.
api_version (str) – API version used (e.g. v1beta4).
validate_body (bool) – Whether the body should be validated. Defaults to True.
-
class
airflow.contrib.operators.gcp_sql_operator.
CloudSqlInstanceImportOperator
(instance, body, project_id=None, gcp_conn_id='google_cloud_default', api_version='v1beta4', validate_body=True, *args, **kwargs)[source]¶ Bases:
airflow.contrib.operators.gcp_sql_operator.CloudSqlBaseOperator
Imports data into a Cloud SQL instance from a SQL dump or CSV file in Cloud Storage.
CSV IMPORT:
This operator is NOT idempotent for a CSV import. If the same file is imported multiple times, the imported data will be duplicated in the database. Moreover, if there are any unique constraints the duplicate import may result in an error.
SQL IMPORT:
This operator is idempotent for a SQL import if it was also exported by Cloud SQL. The exported SQL contains ‘DROP TABLE IF EXISTS’ statements for all tables to be imported.
If the import file was generated in a different way, idempotence is not guaranteed. It has to be ensured on the SQL file level.
See also
For more information on how to use this operator, take a look at the guide: CloudSqlInstanceImportOperator
- Parameters
instance (str) – Cloud SQL instance ID. This does not include the project ID.
body (dict) – The request body, as described in https://cloud.google.com/sql/docs/mysql/admin-api/v1beta4/instances/export#request-body
project_id (str) – Optional, Google Cloud Platform Project ID. If set to None or missing, the default project_id from the GCP connection is used.
gcp_conn_id (str) – The connection ID used to connect to Google Cloud Platform.
api_version (str) – API version used (e.g. v1beta4).
validate_body (bool) – Whether the body should be validated. Defaults to True.
-
class
airflow.contrib.operators.gcp_sql_operator.
CloudSqlQueryOperator
(sql, autocommit=False, parameters=None, gcp_conn_id='google_cloud_default', gcp_cloudsql_conn_id='google_cloud_sql_default', *args, **kwargs)[source]¶ Bases:
airflow.models.BaseOperator
Performs DML or DDL query on an existing Cloud Sql instance. It optionally uses cloud-sql-proxy to establish secure connection with the database.
See also
For more information on how to use this operator, take a look at the guide: CloudSqlQueryOperator
- Parameters
sql (str or list[str]) – SQL query or list of queries to run (should be DML or DDL query - this operator does not return any data from the database, so it is useless to pass it DQL queries. Note that it is responsibility of the author of the queries to make sure that the queries are idempotent. For example you can use CREATE TABLE IF NOT EXISTS to create a table.
parameters (mapping or iterable) – (optional) the parameters to render the SQL query with.
autocommit (bool) – if True, each command is automatically committed. (default value: False)
gcp_conn_id (str) – The connection ID used to connect to Google Cloud Platform for cloud-sql-proxy authentication.
gcp_cloudsql_conn_id (str) – The connection ID used to connect to Google Cloud SQL its schema should be gcpcloudsql://. See
CloudSqlDatabaseHook
for details on how to define gcpcloudsql:// connection.


Class RecognitionConfig.Builder (2.0.0)
public static final class RecognitionConfig.Builder extends GeneratedMessageV3.Builder<RecognitionConfig.Builder> implements RecognitionConfigOrBuilder
Provides information to the recognizer that specifies how to process the request.
Protobuf type google.cloud.speech.v1p1beta1.RecognitionConfig
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > RecognitionConfig.BuilderImplements
RecognitionConfigOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
| Type | Description |
| Descriptor |
Methods
addAllAlternativeLanguageCodes(Iterable<String> values)
public RecognitionConfig.Builder addAllAlternativeLanguageCodes(Iterable<String> values)
A list of up to 3 additional BCP-47 language tags, listing possible alternative languages of the supplied audio. See Language Support for a list of the currently supported language codes. If alternative languages are listed, recognition result will contain recognition in the most likely language detected including the main language_code. The recognition result will include the language tag of the language detected in the audio. Note: This feature is only supported for Voice Command and Voice Search use cases and performance may vary for other use cases (e.g., phone call transcription).
repeated string alternative_language_codes = 18;
| Name | Description |
| values | Iterable<String> The alternativeLanguageCodes to add. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
addAllSpeechContexts(Iterable<? extends SpeechContext> values)
public RecognitionConfig.Builder addAllSpeechContexts(Iterable<? extends SpeechContext> values)
Array of SpeechContext. A means to provide context to assist the speech recognition. For more information, see speech adaptation.
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
| Name | Description |
| values | Iterable<? extends com.google.cloud.speech.v1p1beta1.SpeechContext> |
| Type | Description |
| RecognitionConfig.Builder |
addAlternativeLanguageCodes(String value)
public RecognitionConfig.Builder addAlternativeLanguageCodes(String value)
A list of up to 3 additional BCP-47 language tags, listing possible alternative languages of the supplied audio. See Language Support for a list of the currently supported language codes. If alternative languages are listed, recognition result will contain recognition in the most likely language detected including the main language_code. The recognition result will include the language tag of the language detected in the audio. Note: This feature is only supported for Voice Command and Voice Search use cases and performance may vary for other use cases (e.g., phone call transcription).
repeated string alternative_language_codes = 18;
| Name | Description |
| value | String The alternativeLanguageCodes to add. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
addAlternativeLanguageCodesBytes(ByteString value)
public RecognitionConfig.Builder addAlternativeLanguageCodesBytes(ByteString value)
A list of up to 3 additional BCP-47 language tags, listing possible alternative languages of the supplied audio. See Language Support for a list of the currently supported language codes. If alternative languages are listed, recognition result will contain recognition in the most likely language detected including the main language_code. The recognition result will include the language tag of the language detected in the audio. Note: This feature is only supported for Voice Command and Voice Search use cases and performance may vary for other use cases (e.g., phone call transcription).
repeated string alternative_language_codes = 18;
| Name | Description |
| value | ByteString The bytes of the alternativeLanguageCodes to add. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public RecognitionConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
| Name | Description |
| field | FieldDescriptor |
| value | Object |
| Type | Description |
| RecognitionConfig.Builder |
addSpeechContexts(SpeechContext value)
public RecognitionConfig.Builder addSpeechContexts(SpeechContext value)
Array of SpeechContext. A means to provide context to assist the speech recognition. For more information, see speech adaptation.
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
| Name | Description |
| value | SpeechContext |
| Type | Description |
| RecognitionConfig.Builder |
addSpeechContexts(SpeechContext.Builder builderForValue)
public RecognitionConfig.Builder addSpeechContexts(SpeechContext.Builder builderForValue)
Array of SpeechContext. A means to provide context to assist the speech recognition. For more information, see speech adaptation.
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
| Name | Description |
| builderForValue | SpeechContext.Builder |
| Type | Description |
| RecognitionConfig.Builder |
addSpeechContexts(int index, SpeechContext value)
public RecognitionConfig.Builder addSpeechContexts(int index, SpeechContext value)
Array of SpeechContext. A means to provide context to assist the speech recognition. For more information, see speech adaptation.
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
| Name | Description |
| index | int |
| value | SpeechContext |
| Type | Description |
| RecognitionConfig.Builder |
addSpeechContexts(int index, SpeechContext.Builder builderForValue)
public RecognitionConfig.Builder addSpeechContexts(int index, SpeechContext.Builder builderForValue)
Array of SpeechContext. A means to provide context to assist the speech recognition. For more information, see speech adaptation.
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
| Name | Description |
| index | int |
| builderForValue | SpeechContext.Builder |
| Type | Description |
| RecognitionConfig.Builder |
addSpeechContextsBuilder()
public SpeechContext.Builder addSpeechContextsBuilder()
Array of SpeechContext. A means to provide context to assist the speech recognition. For more information, see speech adaptation.
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
| Type | Description |
| SpeechContext.Builder |
addSpeechContextsBuilder(int index)
public SpeechContext.Builder addSpeechContextsBuilder(int index)
Array of SpeechContext. A means to provide context to assist the speech recognition. For more information, see speech adaptation.
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
| Name | Description |
| index | int |
| Type | Description |
| SpeechContext.Builder |
build()
public RecognitionConfig build()
| Type | Description |
| RecognitionConfig |
buildPartial()
public RecognitionConfig buildPartial()
| Type | Description |
| RecognitionConfig |
clear()
public RecognitionConfig.Builder clear()
| Type | Description |
| RecognitionConfig.Builder |
clearAdaptation()
public RecognitionConfig.Builder clearAdaptation()
Speech adaptation configuration improves the accuracy of speech
recognition. When speech adaptation is set it supersedes the
speech_contexts
field. For more information, see the speech
adaptation
documentation.
.google.cloud.speech.v1p1beta1.SpeechAdaptation adaptation = 20;
| Type | Description |
| RecognitionConfig.Builder |
clearAlternativeLanguageCodes()
public RecognitionConfig.Builder clearAlternativeLanguageCodes()
A list of up to 3 additional BCP-47 language tags, listing possible alternative languages of the supplied audio. See Language Support for a list of the currently supported language codes. If alternative languages are listed, recognition result will contain recognition in the most likely language detected including the main language_code. The recognition result will include the language tag of the language detected in the audio. Note: This feature is only supported for Voice Command and Voice Search use cases and performance may vary for other use cases (e.g., phone call transcription).
repeated string alternative_language_codes = 18;
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
clearAudioChannelCount()
public RecognitionConfig.Builder clearAudioChannelCount()
The number of channels in the input audio data.
ONLY set this for MULTI-CHANNEL recognition.
Valid values for LINEAR16 and FLAC are 1
-8
.
Valid values for OGG_OPUS are '1'-'254'.
Valid value for MULAW, AMR, AMR_WB and SPEEX_WITH_HEADER_BYTE is only 1
.
If 0
or omitted, defaults to one channel (mono).
Note: We only recognize the first channel by default.
To perform independent recognition on each channel set
enable_separate_recognition_per_channel
to 'true'.
int32 audio_channel_count = 7;
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
clearDiarizationConfig()
public RecognitionConfig.Builder clearDiarizationConfig()
Config to enable speaker diarization and set additional parameters to make diarization better suited for your application. Note: When this is enabled, we send all the words from the beginning of the audio for the top alternative in every consecutive STREAMING responses. This is done in order to improve our speaker tags as our models learn to identify the speakers in the conversation over time. For non-streaming requests, the diarization results will be provided only in the top alternative of the FINAL SpeechRecognitionResult.
.google.cloud.speech.v1p1beta1.SpeakerDiarizationConfig diarization_config = 19;
| Type | Description |
| RecognitionConfig.Builder |
clearDiarizationSpeakerCount()
public RecognitionConfig.Builder clearDiarizationSpeakerCount()
If set, specifies the estimated number of speakers in the conversation. Defaults to '2'. Ignored unless enable_speaker_diarization is set to true. Note: Use diarization_config instead.
int32 diarization_speaker_count = 17 [deprecated = true];
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
clearEnableAutomaticPunctuation()
public RecognitionConfig.Builder clearEnableAutomaticPunctuation()
If 'true', adds punctuation to recognition result hypotheses. This feature is only available in select languages. Setting this for requests in other languages has no effect at all. The default 'false' value does not add punctuation to result hypotheses.
bool enable_automatic_punctuation = 11;
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
clearEnableSeparateRecognitionPerChannel()
public RecognitionConfig.Builder clearEnableSeparateRecognitionPerChannel()
This needs to be set to true
explicitly and audio_channel_count
> 1
to get each channel recognized separately. The recognition result will
contain a channel_tag
field to state which channel that result belongs
to. If this is not true, we will only recognize the first channel. The
request is billed cumulatively for all channels recognized:
audio_channel_count
multiplied by the length of the audio.
bool enable_separate_recognition_per_channel = 12;
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
clearEnableSpeakerDiarization()
public RecognitionConfig.Builder clearEnableSpeakerDiarization()
If 'true', enables speaker detection for each recognized word in the top alternative of the recognition result using a speaker_tag provided in the WordInfo. Note: Use diarization_config instead.
bool enable_speaker_diarization = 16 [deprecated = true];
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
clearEnableSpokenEmojis()
public RecognitionConfig.Builder clearEnableSpokenEmojis()
The spoken emoji behavior for the call If not set, uses default behavior based on model of choice If 'true', adds spoken emoji formatting for the request. This will replace spoken emojis with the corresponding Unicode symbols in the final transcript. If 'false', spoken emojis are not replaced.
.google.protobuf.BoolValue enable_spoken_emojis = 23;
| Type | Description |
| RecognitionConfig.Builder |
clearEnableSpokenPunctuation()
public RecognitionConfig.Builder clearEnableSpokenPunctuation()
The spoken punctuation behavior for the call If not set, uses default behavior based on model of choice e.g. command_and_search will enable spoken punctuation by default If 'true', replaces spoken punctuation with the corresponding symbols in the request. For example, "how are you question mark" becomes "how are you?". See https://cloud.google.com/speech-to-text/docs/spoken-punctuation for support. If 'false', spoken punctuation is not replaced.
.google.protobuf.BoolValue enable_spoken_punctuation = 22;
| Type | Description |
| RecognitionConfig.Builder |
clearEnableWordConfidence()
public RecognitionConfig.Builder clearEnableWordConfidence()
If true
, the top result includes a list of words and the
confidence for those words. If false
, no word-level confidence
information is returned. The default is false
.
bool enable_word_confidence = 15;
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
clearEnableWordTimeOffsets()
public RecognitionConfig.Builder clearEnableWordTimeOffsets()
If true
, the top result includes a list of words and
the start and end time offsets (timestamps) for those words. If
false
, no word-level time offset information is returned. The default is
false
.
bool enable_word_time_offsets = 8;
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
clearEncoding()
public RecognitionConfig.Builder clearEncoding()
Encoding of audio data sent in all RecognitionAudio
messages.
This field is optional for FLAC
and WAV
audio files and required
for all other audio formats. For details, see AudioEncoding.
.google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding encoding = 1;
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public RecognitionConfig.Builder clearField(Descriptors.FieldDescriptor field)
| Name | Description |
| field | FieldDescriptor |
| Type | Description |
| RecognitionConfig.Builder |
clearLanguageCode()
public RecognitionConfig.Builder clearLanguageCode()
Required. The language of the supplied audio as a BCP-47 language tag. Example: "en-US". See Language Support for a list of the currently supported language codes.
string language_code = 3 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
clearMaxAlternatives()
public RecognitionConfig.Builder clearMaxAlternatives()
Maximum number of recognition hypotheses to be returned.
Specifically, the maximum number of SpeechRecognitionAlternative
messages
within each SpeechRecognitionResult
.
The server may return fewer than max_alternatives
.
Valid values are 0
-30
. A value of 0
or 1
will return a maximum of
one. If omitted, will return a maximum of one.
int32 max_alternatives = 4;
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
clearMetadata()
public RecognitionConfig.Builder clearMetadata()
Metadata regarding this request.
.google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;
| Type | Description |
| RecognitionConfig.Builder |
clearModel()
public RecognitionConfig.Builder clearModel()
Which model to select for the given request. Select the model best suited to your domain to get best results. If a model is not explicitly specified, then we auto-select a model based on the parameters in the RecognitionConfig.

 Model	 Description

 command_and_search	 Best for short queries such as voice commands or voice search.

 phone_call	 Best for audio that originated from a phone call (typically recorded at an 8khz sampling rate).

 video	 Best for audio that originated from video or includes multiple speakers. Ideally the audio is recorded at a 16khz or greater sampling rate. This is a premium model that costs more than the standard rate.

 default	 Best for audio that is not one of the specific audio models. For example, long-form audio. Ideally the audio is high-fidelity, recorded at a 16khz or greater sampling rate.

string model = 13;
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
clearOneof(Descriptors.OneofDescriptor oneof)
public RecognitionConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
| Name | Description |
| oneof | OneofDescriptor |
| Type | Description |
| RecognitionConfig.Builder |
clearProfanityFilter()
public RecognitionConfig.Builder clearProfanityFilter()
If set to true
, the server will attempt to filter out
profanities, replacing all but the initial character in each filtered word
with asterisks, e.g. "f***". If set to false
or omitted, profanities
won't be filtered out.
bool profanity_filter = 5;
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
clearSampleRateHertz()
public RecognitionConfig.Builder clearSampleRateHertz()
Sample rate in Hertz of the audio data sent in all
RecognitionAudio
messages. Valid values are: 8000-48000.
16000 is optimal. For best results, set the sampling rate of the audio
source to 16000 Hz. If that's not possible, use the native sample rate of
the audio source (instead of re-sampling).
This field is optional for FLAC and WAV audio files, but is
required for all other audio formats. For details, see AudioEncoding.
int32 sample_rate_hertz = 2;
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
clearSpeechContexts()
public RecognitionConfig.Builder clearSpeechContexts()
Array of SpeechContext. A means to provide context to assist the speech recognition. For more information, see speech adaptation.
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
| Type | Description |
| RecognitionConfig.Builder |
clearTranscriptNormalization()
public RecognitionConfig.Builder clearTranscriptNormalization()
Use transcription normalization to automatically replace parts of the transcript with phrases of your choosing. For StreamingRecognize, this normalization only applies to stable partial transcripts (stability > 0.8) and final transcripts.
.google.cloud.speech.v1p1beta1.TranscriptNormalization transcript_normalization = 24;
| Type | Description |
| RecognitionConfig.Builder |
clearUseEnhanced()
public RecognitionConfig.Builder clearUseEnhanced()
Set to true to use an enhanced model for speech recognition.
If use_enhanced
is set to true and the model
field is not set, then
an appropriate enhanced model is chosen if an enhanced model exists for
the audio.
If use_enhanced
is true and an enhanced version of the specified model
does not exist, then the speech is recognized using the standard version
of the specified model.
bool use_enhanced = 14;
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
clone()
public RecognitionConfig.Builder clone()
| Type | Description |
| RecognitionConfig.Builder |
getAdaptation()
public SpeechAdaptation getAdaptation()
Speech adaptation configuration improves the accuracy of speech
recognition. When speech adaptation is set it supersedes the
speech_contexts
field. For more information, see the speech
adaptation
documentation.
.google.cloud.speech.v1p1beta1.SpeechAdaptation adaptation = 20;
| Type | Description |
| SpeechAdaptation | The adaptation. |
getAdaptationBuilder()
public SpeechAdaptation.Builder getAdaptationBuilder()
Speech adaptation configuration improves the accuracy of speech
recognition. When speech adaptation is set it supersedes the
speech_contexts
field. For more information, see the speech
adaptation
documentation.
.google.cloud.speech.v1p1beta1.SpeechAdaptation adaptation = 20;
| Type | Description |
| SpeechAdaptation.Builder |
getAdaptationOrBuilder()
public SpeechAdaptationOrBuilder getAdaptationOrBuilder()
Speech adaptation configuration improves the accuracy of speech
recognition. When speech adaptation is set it supersedes the
speech_contexts
field. For more information, see the speech
adaptation
documentation.
.google.cloud.speech.v1p1beta1.SpeechAdaptation adaptation = 20;
| Type | Description |
| SpeechAdaptationOrBuilder |
getAlternativeLanguageCodes(int index)
public String getAlternativeLanguageCodes(int index)
A list of up to 3 additional BCP-47 language tags, listing possible alternative languages of the supplied audio. See Language Support for a list of the currently supported language codes. If alternative languages are listed, recognition result will contain recognition in the most likely language detected including the main language_code. The recognition result will include the language tag of the language detected in the audio. Note: This feature is only supported for Voice Command and Voice Search use cases and performance may vary for other use cases (e.g., phone call transcription).
repeated string alternative_language_codes = 18;
| Name | Description |
| index | int The index of the element to return. |
| Type | Description |
| String | The alternativeLanguageCodes at the given index. |
getAlternativeLanguageCodesBytes(int index)
public ByteString getAlternativeLanguageCodesBytes(int index)
A list of up to 3 additional BCP-47 language tags, listing possible alternative languages of the supplied audio. See Language Support for a list of the currently supported language codes. If alternative languages are listed, recognition result will contain recognition in the most likely language detected including the main language_code. The recognition result will include the language tag of the language detected in the audio. Note: This feature is only supported for Voice Command and Voice Search use cases and performance may vary for other use cases (e.g., phone call transcription).
repeated string alternative_language_codes = 18;
| Name | Description |
| index | int The index of the value to return. |
| Type | Description |
| ByteString | The bytes of the alternativeLanguageCodes at the given index. |
getAlternativeLanguageCodesCount()
public int getAlternativeLanguageCodesCount()
A list of up to 3 additional BCP-47 language tags, listing possible alternative languages of the supplied audio. See Language Support for a list of the currently supported language codes. If alternative languages are listed, recognition result will contain recognition in the most likely language detected including the main language_code. The recognition result will include the language tag of the language detected in the audio. Note: This feature is only supported for Voice Command and Voice Search use cases and performance may vary for other use cases (e.g., phone call transcription).
repeated string alternative_language_codes = 18;
| Type | Description |
| int | The count of alternativeLanguageCodes. |
getAlternativeLanguageCodesList()
public ProtocolStringList getAlternativeLanguageCodesList()
A list of up to 3 additional BCP-47 language tags, listing possible alternative languages of the supplied audio. See Language Support for a list of the currently supported language codes. If alternative languages are listed, recognition result will contain recognition in the most likely language detected including the main language_code. The recognition result will include the language tag of the language detected in the audio. Note: This feature is only supported for Voice Command and Voice Search use cases and performance may vary for other use cases (e.g., phone call transcription).
repeated string alternative_language_codes = 18;
| Type | Description |
| ProtocolStringList | A list containing the alternativeLanguageCodes. |
getAudioChannelCount()
public int getAudioChannelCount()
The number of channels in the input audio data.
ONLY set this for MULTI-CHANNEL recognition.
Valid values for LINEAR16 and FLAC are 1
-8
.
Valid values for OGG_OPUS are '1'-'254'.
Valid value for MULAW, AMR, AMR_WB and SPEEX_WITH_HEADER_BYTE is only 1
.
If 0
or omitted, defaults to one channel (mono).
Note: We only recognize the first channel by default.
To perform independent recognition on each channel set
enable_separate_recognition_per_channel
to 'true'.
int32 audio_channel_count = 7;
| Type | Description |
| int | The audioChannelCount. |
getDefaultInstanceForType()
public RecognitionConfig getDefaultInstanceForType()
| Type | Description |
| RecognitionConfig |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
| Type | Description |
| Descriptor |
getDiarizationConfig()
public SpeakerDiarizationConfig getDiarizationConfig()
Config to enable speaker diarization and set additional parameters to make diarization better suited for your application. Note: When this is enabled, we send all the words from the beginning of the audio for the top alternative in every consecutive STREAMING responses. This is done in order to improve our speaker tags as our models learn to identify the speakers in the conversation over time. For non-streaming requests, the diarization results will be provided only in the top alternative of the FINAL SpeechRecognitionResult.
.google.cloud.speech.v1p1beta1.SpeakerDiarizationConfig diarization_config = 19;
| Type | Description |
| SpeakerDiarizationConfig | The diarizationConfig. |
getDiarizationConfigBuilder()
public SpeakerDiarizationConfig.Builder getDiarizationConfigBuilder()
Config to enable speaker diarization and set additional parameters to make diarization better suited for your application. Note: When this is enabled, we send all the words from the beginning of the audio for the top alternative in every consecutive STREAMING responses. This is done in order to improve our speaker tags as our models learn to identify the speakers in the conversation over time. For non-streaming requests, the diarization results will be provided only in the top alternative of the FINAL SpeechRecognitionResult.
.google.cloud.speech.v1p1beta1.SpeakerDiarizationConfig diarization_config = 19;
| Type | Description |
| SpeakerDiarizationConfig.Builder |
getDiarizationConfigOrBuilder()
public SpeakerDiarizationConfigOrBuilder getDiarizationConfigOrBuilder()
Config to enable speaker diarization and set additional parameters to make diarization better suited for your application. Note: When this is enabled, we send all the words from the beginning of the audio for the top alternative in every consecutive STREAMING responses. This is done in order to improve our speaker tags as our models learn to identify the speakers in the conversation over time. For non-streaming requests, the diarization results will be provided only in the top alternative of the FINAL SpeechRecognitionResult.
.google.cloud.speech.v1p1beta1.SpeakerDiarizationConfig diarization_config = 19;
| Type | Description |
| SpeakerDiarizationConfigOrBuilder |
getDiarizationSpeakerCount()
public int getDiarizationSpeakerCount()
If set, specifies the estimated number of speakers in the conversation. Defaults to '2'. Ignored unless enable_speaker_diarization is set to true. Note: Use diarization_config instead.
int32 diarization_speaker_count = 17 [deprecated = true];
| Type | Description |
| int | The diarizationSpeakerCount. |
getEnableAutomaticPunctuation()
public boolean getEnableAutomaticPunctuation()
If 'true', adds punctuation to recognition result hypotheses. This feature is only available in select languages. Setting this for requests in other languages has no effect at all. The default 'false' value does not add punctuation to result hypotheses.
bool enable_automatic_punctuation = 11;
| Type | Description |
| boolean | The enableAutomaticPunctuation. |
getEnableSeparateRecognitionPerChannel()
public boolean getEnableSeparateRecognitionPerChannel()
This needs to be set to true
explicitly and audio_channel_count
> 1
to get each channel recognized separately. The recognition result will
contain a channel_tag
field to state which channel that result belongs
to. If this is not true, we will only recognize the first channel. The
request is billed cumulatively for all channels recognized:
audio_channel_count
multiplied by the length of the audio.
bool enable_separate_recognition_per_channel = 12;
| Type | Description |
| boolean | The enableSeparateRecognitionPerChannel. |
getEnableSpeakerDiarization()
public boolean getEnableSpeakerDiarization()
If 'true', enables speaker detection for each recognized word in the top alternative of the recognition result using a speaker_tag provided in the WordInfo. Note: Use diarization_config instead.
bool enable_speaker_diarization = 16 [deprecated = true];
| Type | Description |
| boolean | The enableSpeakerDiarization. |
getEnableSpokenEmojis()
public BoolValue getEnableSpokenEmojis()
The spoken emoji behavior for the call If not set, uses default behavior based on model of choice If 'true', adds spoken emoji formatting for the request. This will replace spoken emojis with the corresponding Unicode symbols in the final transcript. If 'false', spoken emojis are not replaced.
.google.protobuf.BoolValue enable_spoken_emojis = 23;
| Type | Description |
| BoolValue | The enableSpokenEmojis. |
getEnableSpokenEmojisBuilder()
public BoolValue.Builder getEnableSpokenEmojisBuilder()
The spoken emoji behavior for the call If not set, uses default behavior based on model of choice If 'true', adds spoken emoji formatting for the request. This will replace spoken emojis with the corresponding Unicode symbols in the final transcript. If 'false', spoken emojis are not replaced.
.google.protobuf.BoolValue enable_spoken_emojis = 23;
| Type | Description |
| Builder |
getEnableSpokenEmojisOrBuilder()
public BoolValueOrBuilder getEnableSpokenEmojisOrBuilder()
The spoken emoji behavior for the call If not set, uses default behavior based on model of choice If 'true', adds spoken emoji formatting for the request. This will replace spoken emojis with the corresponding Unicode symbols in the final transcript. If 'false', spoken emojis are not replaced.
.google.protobuf.BoolValue enable_spoken_emojis = 23;
| Type | Description |
| BoolValueOrBuilder |
getEnableSpokenPunctuation()
public BoolValue getEnableSpokenPunctuation()
The spoken punctuation behavior for the call If not set, uses default behavior based on model of choice e.g. command_and_search will enable spoken punctuation by default If 'true', replaces spoken punctuation with the corresponding symbols in the request. For example, "how are you question mark" becomes "how are you?". See https://cloud.google.com/speech-to-text/docs/spoken-punctuation for support. If 'false', spoken punctuation is not replaced.
.google.protobuf.BoolValue enable_spoken_punctuation = 22;
| Type | Description |
| BoolValue | The enableSpokenPunctuation. |
getEnableSpokenPunctuationBuilder()
public BoolValue.Builder getEnableSpokenPunctuationBuilder()
The spoken punctuation behavior for the call If not set, uses default behavior based on model of choice e.g. command_and_search will enable spoken punctuation by default If 'true', replaces spoken punctuation with the corresponding symbols in the request. For example, "how are you question mark" becomes "how are you?". See https://cloud.google.com/speech-to-text/docs/spoken-punctuation for support. If 'false', spoken punctuation is not replaced.
.google.protobuf.BoolValue enable_spoken_punctuation = 22;
| Type | Description |
| Builder |
getEnableSpokenPunctuationOrBuilder()
public BoolValueOrBuilder getEnableSpokenPunctuationOrBuilder()
The spoken punctuation behavior for the call If not set, uses default behavior based on model of choice e.g. command_and_search will enable spoken punctuation by default If 'true', replaces spoken punctuation with the corresponding symbols in the request. For example, "how are you question mark" becomes "how are you?". See https://cloud.google.com/speech-to-text/docs/spoken-punctuation for support. If 'false', spoken punctuation is not replaced.
.google.protobuf.BoolValue enable_spoken_punctuation = 22;
| Type | Description |
| BoolValueOrBuilder |
getEnableWordConfidence()
public boolean getEnableWordConfidence()
If true
, the top result includes a list of words and the
confidence for those words. If false
, no word-level confidence
information is returned. The default is false
.
bool enable_word_confidence = 15;
| Type | Description |
| boolean | The enableWordConfidence. |
getEnableWordTimeOffsets()
public boolean getEnableWordTimeOffsets()
If true
, the top result includes a list of words and
the start and end time offsets (timestamps) for those words. If
false
, no word-level time offset information is returned. The default is
false
.
bool enable_word_time_offsets = 8;
| Type | Description |
| boolean | The enableWordTimeOffsets. |
getEncoding()
public RecognitionConfig.AudioEncoding getEncoding()
Encoding of audio data sent in all RecognitionAudio
messages.
This field is optional for FLAC
and WAV
audio files and required
for all other audio formats. For details, see AudioEncoding.
.google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding encoding = 1;
| Type | Description |
| RecognitionConfig.AudioEncoding | The encoding. |
getEncodingValue()
public int getEncodingValue()
Encoding of audio data sent in all RecognitionAudio
messages.
This field is optional for FLAC
and WAV
audio files and required
for all other audio formats. For details, see AudioEncoding.
.google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding encoding = 1;
| Type | Description |
| int | The enum numeric value on the wire for encoding. |
getLanguageCode()
public String getLanguageCode()
Required. The language of the supplied audio as a BCP-47 language tag. Example: "en-US". See Language Support for a list of the currently supported language codes.
string language_code = 3 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| String | The languageCode. |
getLanguageCodeBytes()
public ByteString getLanguageCodeBytes()
Required. The language of the supplied audio as a BCP-47 language tag. Example: "en-US". See Language Support for a list of the currently supported language codes.
string language_code = 3 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| ByteString | The bytes for languageCode. |
getMaxAlternatives()
public int getMaxAlternatives()
Maximum number of recognition hypotheses to be returned.
Specifically, the maximum number of SpeechRecognitionAlternative
messages
within each SpeechRecognitionResult
.
The server may return fewer than max_alternatives
.
Valid values are 0
-30
. A value of 0
or 1
will return a maximum of
one. If omitted, will return a maximum of one.
int32 max_alternatives = 4;
| Type | Description |
| int | The maxAlternatives. |
getMetadata()
public RecognitionMetadata getMetadata()
Metadata regarding this request.
.google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;
| Type | Description |
| RecognitionMetadata | The metadata. |
getMetadataBuilder()
public RecognitionMetadata.Builder getMetadataBuilder()
Metadata regarding this request.
.google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;
| Type | Description |
| RecognitionMetadata.Builder |
getMetadataOrBuilder()
public RecognitionMetadataOrBuilder getMetadataOrBuilder()
Metadata regarding this request.
.google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;
| Type | Description |
| RecognitionMetadataOrBuilder |
getModel()
public String getModel()
Which model to select for the given request. Select the model best suited to your domain to get best results. If a model is not explicitly specified, then we auto-select a model based on the parameters in the RecognitionConfig.

 Model	 Description

 command_and_search	 Best for short queries such as voice commands or voice search.

 phone_call	 Best for audio that originated from a phone call (typically recorded at an 8khz sampling rate).

 video	 Best for audio that originated from video or includes multiple speakers. Ideally the audio is recorded at a 16khz or greater sampling rate. This is a premium model that costs more than the standard rate.

 default	 Best for audio that is not one of the specific audio models. For example, long-form audio. Ideally the audio is high-fidelity, recorded at a 16khz or greater sampling rate.

string model = 13;
| Type | Description |
| String | The model. |
getModelBytes()
public ByteString getModelBytes()
Which model to select for the given request. Select the model best suited to your domain to get best results. If a model is not explicitly specified, then we auto-select a model based on the parameters in the RecognitionConfig.

 Model	 Description

 command_and_search	 Best for short queries such as voice commands or voice search.

 phone_call	 Best for audio that originated from a phone call (typically recorded at an 8khz sampling rate).

 video	 Best for audio that originated from video or includes multiple speakers. Ideally the audio is recorded at a 16khz or greater sampling rate. This is a premium model that costs more than the standard rate.

 default	 Best for audio that is not one of the specific audio models. For example, long-form audio. Ideally the audio is high-fidelity, recorded at a 16khz or greater sampling rate.

string model = 13;
| Type | Description |
| ByteString | The bytes for model. |
getProfanityFilter()
public boolean getProfanityFilter()
If set to true
, the server will attempt to filter out
profanities, replacing all but the initial character in each filtered word
with asterisks, e.g. "f***". If set to false
or omitted, profanities
won't be filtered out.
bool profanity_filter = 5;
| Type | Description |
| boolean | The profanityFilter. |
getSampleRateHertz()
public int getSampleRateHertz()
Sample rate in Hertz of the audio data sent in all
RecognitionAudio
messages. Valid values are: 8000-48000.
16000 is optimal. For best results, set the sampling rate of the audio
source to 16000 Hz. If that's not possible, use the native sample rate of
the audio source (instead of re-sampling).
This field is optional for FLAC and WAV audio files, but is
required for all other audio formats. For details, see AudioEncoding.
int32 sample_rate_hertz = 2;
| Type | Description |
| int | The sampleRateHertz. |
getSpeechContexts(int index)
public SpeechContext getSpeechContexts(int index)
Array of SpeechContext. A means to provide context to assist the speech recognition. For more information, see speech adaptation.
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
| Name | Description |
| index | int |
| Type | Description |
| SpeechContext |
getSpeechContextsBuilder(int index)
public SpeechContext.Builder getSpeechContextsBuilder(int index)
Array of SpeechContext. A means to provide context to assist the speech recognition. For more information, see speech adaptation.
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
| Name | Description |
| index | int |
| Type | Description |
| SpeechContext.Builder |
getSpeechContextsBuilderList()
public List<SpeechContext.Builder> getSpeechContextsBuilderList()
Array of SpeechContext. A means to provide context to assist the speech recognition. For more information, see speech adaptation.
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
| Type | Description |
| List<Builder> |
getSpeechContextsCount()
public int getSpeechContextsCount()
Array of SpeechContext. A means to provide context to assist the speech recognition. For more information, see speech adaptation.
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
| Type | Description |
| int |
getSpeechContextsList()
public List<SpeechContext> getSpeechContextsList()
Array of SpeechContext. A means to provide context to assist the speech recognition. For more information, see speech adaptation.
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
| Type | Description |
| List<SpeechContext> |
getSpeechContextsOrBuilder(int index)
public SpeechContextOrBuilder getSpeechContextsOrBuilder(int index)
Array of SpeechContext. A means to provide context to assist the speech recognition. For more information, see speech adaptation.
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
| Name | Description |
| index | int |
| Type | Description |
| SpeechContextOrBuilder |
getSpeechContextsOrBuilderList()
public List<? extends SpeechContextOrBuilder> getSpeechContextsOrBuilderList()
Array of SpeechContext. A means to provide context to assist the speech recognition. For more information, see speech adaptation.
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
| Type | Description |
| List<? extends com.google.cloud.speech.v1p1beta1.SpeechContextOrBuilder> |
getTranscriptNormalization()
public TranscriptNormalization getTranscriptNormalization()
Use transcription normalization to automatically replace parts of the transcript with phrases of your choosing. For StreamingRecognize, this normalization only applies to stable partial transcripts (stability > 0.8) and final transcripts.
.google.cloud.speech.v1p1beta1.TranscriptNormalization transcript_normalization = 24;
| Type | Description |
| TranscriptNormalization | The transcriptNormalization. |
getTranscriptNormalizationBuilder()
public TranscriptNormalization.Builder getTranscriptNormalizationBuilder()
Use transcription normalization to automatically replace parts of the transcript with phrases of your choosing. For StreamingRecognize, this normalization only applies to stable partial transcripts (stability > 0.8) and final transcripts.
.google.cloud.speech.v1p1beta1.TranscriptNormalization transcript_normalization = 24;
| Type | Description |
| TranscriptNormalization.Builder |
getTranscriptNormalizationOrBuilder()
public TranscriptNormalizationOrBuilder getTranscriptNormalizationOrBuilder()
Use transcription normalization to automatically replace parts of the transcript with phrases of your choosing. For StreamingRecognize, this normalization only applies to stable partial transcripts (stability > 0.8) and final transcripts.
.google.cloud.speech.v1p1beta1.TranscriptNormalization transcript_normalization = 24;
| Type | Description |
| TranscriptNormalizationOrBuilder |
getUseEnhanced()
public boolean getUseEnhanced()
Set to true to use an enhanced model for speech recognition.
If use_enhanced
is set to true and the model
field is not set, then
an appropriate enhanced model is chosen if an enhanced model exists for
the audio.
If use_enhanced
is true and an enhanced version of the specified model
does not exist, then the speech is recognized using the standard version
of the specified model.
bool use_enhanced = 14;
| Type | Description |
| boolean | The useEnhanced. |
hasAdaptation()
public boolean hasAdaptation()
Speech adaptation configuration improves the accuracy of speech
recognition. When speech adaptation is set it supersedes the
speech_contexts
field. For more information, see the speech
adaptation
documentation.
.google.cloud.speech.v1p1beta1.SpeechAdaptation adaptation = 20;
| Type | Description |
| boolean | Whether the adaptation field is set. |
hasDiarizationConfig()
public boolean hasDiarizationConfig()
Config to enable speaker diarization and set additional parameters to make diarization better suited for your application. Note: When this is enabled, we send all the words from the beginning of the audio for the top alternative in every consecutive STREAMING responses. This is done in order to improve our speaker tags as our models learn to identify the speakers in the conversation over time. For non-streaming requests, the diarization results will be provided only in the top alternative of the FINAL SpeechRecognitionResult.
.google.cloud.speech.v1p1beta1.SpeakerDiarizationConfig diarization_config = 19;
| Type | Description |
| boolean | Whether the diarizationConfig field is set. |
hasEnableSpokenEmojis()
public boolean hasEnableSpokenEmojis()
The spoken emoji behavior for the call If not set, uses default behavior based on model of choice If 'true', adds spoken emoji formatting for the request. This will replace spoken emojis with the corresponding Unicode symbols in the final transcript. If 'false', spoken emojis are not replaced.
.google.protobuf.BoolValue enable_spoken_emojis = 23;
| Type | Description |
| boolean | Whether the enableSpokenEmojis field is set. |
hasEnableSpokenPunctuation()
public boolean hasEnableSpokenPunctuation()
The spoken punctuation behavior for the call If not set, uses default behavior based on model of choice e.g. command_and_search will enable spoken punctuation by default If 'true', replaces spoken punctuation with the corresponding symbols in the request. For example, "how are you question mark" becomes "how are you?". See https://cloud.google.com/speech-to-text/docs/spoken-punctuation for support. If 'false', spoken punctuation is not replaced.
.google.protobuf.BoolValue enable_spoken_punctuation = 22;
| Type | Description |
| boolean | Whether the enableSpokenPunctuation field is set. |
hasMetadata()
public boolean hasMetadata()
Metadata regarding this request.
.google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;
| Type | Description |
| boolean | Whether the metadata field is set. |
hasTranscriptNormalization()
public boolean hasTranscriptNormalization()
Use transcription normalization to automatically replace parts of the transcript with phrases of your choosing. For StreamingRecognize, this normalization only applies to stable partial transcripts (stability > 0.8) and final transcripts.
.google.cloud.speech.v1p1beta1.TranscriptNormalization transcript_normalization = 24;
| Type | Description |
| boolean | Whether the transcriptNormalization field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
| Type | Description |
| FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
| Type | Description |
| boolean |
mergeAdaptation(SpeechAdaptation value)
public RecognitionConfig.Builder mergeAdaptation(SpeechAdaptation value)
Speech adaptation configuration improves the accuracy of speech
recognition. When speech adaptation is set it supersedes the
speech_contexts
field. For more information, see the speech
adaptation
documentation.
.google.cloud.speech.v1p1beta1.SpeechAdaptation adaptation = 20;
| Name | Description |
| value | SpeechAdaptation |
| Type | Description |
| RecognitionConfig.Builder |
mergeDiarizationConfig(SpeakerDiarizationConfig value)
public RecognitionConfig.Builder mergeDiarizationConfig(SpeakerDiarizationConfig value)
Config to enable speaker diarization and set additional parameters to make diarization better suited for your application. Note: When this is enabled, we send all the words from the beginning of the audio for the top alternative in every consecutive STREAMING responses. This is done in order to improve our speaker tags as our models learn to identify the speakers in the conversation over time. For non-streaming requests, the diarization results will be provided only in the top alternative of the FINAL SpeechRecognitionResult.
.google.cloud.speech.v1p1beta1.SpeakerDiarizationConfig diarization_config = 19;
| Name | Description |
| value | SpeakerDiarizationConfig |
| Type | Description |
| RecognitionConfig.Builder |
mergeEnableSpokenEmojis(BoolValue value)
public RecognitionConfig.Builder mergeEnableSpokenEmojis(BoolValue value)
The spoken emoji behavior for the call If not set, uses default behavior based on model of choice If 'true', adds spoken emoji formatting for the request. This will replace spoken emojis with the corresponding Unicode symbols in the final transcript. If 'false', spoken emojis are not replaced.
.google.protobuf.BoolValue enable_spoken_emojis = 23;
| Name | Description |
| value | BoolValue |
| Type | Description |
| RecognitionConfig.Builder |
mergeEnableSpokenPunctuation(BoolValue value)
public RecognitionConfig.Builder mergeEnableSpokenPunctuation(BoolValue value)
The spoken punctuation behavior for the call If not set, uses default behavior based on model of choice e.g. command_and_search will enable spoken punctuation by default If 'true', replaces spoken punctuation with the corresponding symbols in the request. For example, "how are you question mark" becomes "how are you?". See https://cloud.google.com/speech-to-text/docs/spoken-punctuation for support. If 'false', spoken punctuation is not replaced.
.google.protobuf.BoolValue enable_spoken_punctuation = 22;
| Name | Description |
| value | BoolValue |
| Type | Description |
| RecognitionConfig.Builder |
mergeFrom(RecognitionConfig other)
public RecognitionConfig.Builder mergeFrom(RecognitionConfig other)
| Name | Description |
| other | RecognitionConfig |
| Type | Description |
| RecognitionConfig.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public RecognitionConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
| Name | Description |
| input | CodedInputStream |
| extensionRegistry | ExtensionRegistryLite |
| Type | Description |
| RecognitionConfig.Builder |
| Type | Description |
| IOException |
mergeFrom(Message other)
public RecognitionConfig.Builder mergeFrom(Message other)
| Name | Description |
| other | Message |
| Type | Description |
| RecognitionConfig.Builder |
mergeMetadata(RecognitionMetadata value)
public RecognitionConfig.Builder mergeMetadata(RecognitionMetadata value)
Metadata regarding this request.
.google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;
| Name | Description |
| value | RecognitionMetadata |
| Type | Description |
| RecognitionConfig.Builder |
mergeTranscriptNormalization(TranscriptNormalization value)
public RecognitionConfig.Builder mergeTranscriptNormalization(TranscriptNormalization value)
Use transcription normalization to automatically replace parts of the transcript with phrases of your choosing. For StreamingRecognize, this normalization only applies to stable partial transcripts (stability > 0.8) and final transcripts.
.google.cloud.speech.v1p1beta1.TranscriptNormalization transcript_normalization = 24;
| Name | Description |
| value | TranscriptNormalization |
| Type | Description |
| RecognitionConfig.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final RecognitionConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
| Name | Description |
| unknownFields | UnknownFieldSet |
| Type | Description |
| RecognitionConfig.Builder |
removeSpeechContexts(int index)
public RecognitionConfig.Builder removeSpeechContexts(int index)
Array of SpeechContext. A means to provide context to assist the speech recognition. For more information, see speech adaptation.
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
| Name | Description |
| index | int |
| Type | Description |
| RecognitionConfig.Builder |
setAdaptation(SpeechAdaptation value)
public RecognitionConfig.Builder setAdaptation(SpeechAdaptation value)
Speech adaptation configuration improves the accuracy of speech
recognition. When speech adaptation is set it supersedes the
speech_contexts
field. For more information, see the speech
adaptation
documentation.
.google.cloud.speech.v1p1beta1.SpeechAdaptation adaptation = 20;
| Name | Description |
| value | SpeechAdaptation |
| Type | Description |
| RecognitionConfig.Builder |
setAdaptation(SpeechAdaptation.Builder builderForValue)
public RecognitionConfig.Builder setAdaptation(SpeechAdaptation.Builder builderForValue)
Speech adaptation configuration improves the accuracy of speech
recognition. When speech adaptation is set it supersedes the
speech_contexts
field. For more information, see the speech
adaptation
documentation.
.google.cloud.speech.v1p1beta1.SpeechAdaptation adaptation = 20;
| Name | Description |
| builderForValue | SpeechAdaptation.Builder |
| Type | Description |
| RecognitionConfig.Builder |
setAlternativeLanguageCodes(int index, String value)
public RecognitionConfig.Builder setAlternativeLanguageCodes(int index, String value)
A list of up to 3 additional BCP-47 language tags, listing possible alternative languages of the supplied audio. See Language Support for a list of the currently supported language codes. If alternative languages are listed, recognition result will contain recognition in the most likely language detected including the main language_code. The recognition result will include the language tag of the language detected in the audio. Note: This feature is only supported for Voice Command and Voice Search use cases and performance may vary for other use cases (e.g., phone call transcription).
repeated string alternative_language_codes = 18;
| Name | Description |
| index | int The index to set the value at. |
| value | String The alternativeLanguageCodes to set. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
setAudioChannelCount(int value)
public RecognitionConfig.Builder setAudioChannelCount(int value)
The number of channels in the input audio data.
ONLY set this for MULTI-CHANNEL recognition.
Valid values for LINEAR16 and FLAC are 1
-8
.
Valid values for OGG_OPUS are '1'-'254'.
Valid value for MULAW, AMR, AMR_WB and SPEEX_WITH_HEADER_BYTE is only 1
.
If 0
or omitted, defaults to one channel (mono).
Note: We only recognize the first channel by default.
To perform independent recognition on each channel set
enable_separate_recognition_per_channel
to 'true'.
int32 audio_channel_count = 7;
| Name | Description |
| value | int The audioChannelCount to set. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
setDiarizationConfig(SpeakerDiarizationConfig value)
public RecognitionConfig.Builder setDiarizationConfig(SpeakerDiarizationConfig value)
Config to enable speaker diarization and set additional parameters to make diarization better suited for your application. Note: When this is enabled, we send all the words from the beginning of the audio for the top alternative in every consecutive STREAMING responses. This is done in order to improve our speaker tags as our models learn to identify the speakers in the conversation over time. For non-streaming requests, the diarization results will be provided only in the top alternative of the FINAL SpeechRecognitionResult.
.google.cloud.speech.v1p1beta1.SpeakerDiarizationConfig diarization_config = 19;
| Name | Description |
| value | SpeakerDiarizationConfig |
| Type | Description |
| RecognitionConfig.Builder |
setDiarizationConfig(SpeakerDiarizationConfig.Builder builderForValue)
public RecognitionConfig.Builder setDiarizationConfig(SpeakerDiarizationConfig.Builder builderForValue)
Config to enable speaker diarization and set additional parameters to make diarization better suited for your application. Note: When this is enabled, we send all the words from the beginning of the audio for the top alternative in every consecutive STREAMING responses. This is done in order to improve our speaker tags as our models learn to identify the speakers in the conversation over time. For non-streaming requests, the diarization results will be provided only in the top alternative of the FINAL SpeechRecognitionResult.
.google.cloud.speech.v1p1beta1.SpeakerDiarizationConfig diarization_config = 19;
| Name | Description |
| builderForValue | SpeakerDiarizationConfig.Builder |
| Type | Description |
| RecognitionConfig.Builder |
setDiarizationSpeakerCount(int value)
public RecognitionConfig.Builder setDiarizationSpeakerCount(int value)
If set, specifies the estimated number of speakers in the conversation. Defaults to '2'. Ignored unless enable_speaker_diarization is set to true. Note: Use diarization_config instead.
int32 diarization_speaker_count = 17 [deprecated = true];
| Name | Description |
| value | int The diarizationSpeakerCount to set. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
setEnableAutomaticPunctuation(boolean value)
public RecognitionConfig.Builder setEnableAutomaticPunctuation(boolean value)
If 'true', adds punctuation to recognition result hypotheses. This feature is only available in select languages. Setting this for requests in other languages has no effect at all. The default 'false' value does not add punctuation to result hypotheses.
bool enable_automatic_punctuation = 11;
| Name | Description |
| value | boolean The enableAutomaticPunctuation to set. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
setEnableSeparateRecognitionPerChannel(boolean value)
public RecognitionConfig.Builder setEnableSeparateRecognitionPerChannel(boolean value)
This needs to be set to true
explicitly and audio_channel_count
> 1
to get each channel recognized separately. The recognition result will
contain a channel_tag
field to state which channel that result belongs
to. If this is not true, we will only recognize the first channel. The
request is billed cumulatively for all channels recognized:
audio_channel_count
multiplied by the length of the audio.
bool enable_separate_recognition_per_channel = 12;
| Name | Description |
| value | boolean The enableSeparateRecognitionPerChannel to set. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
setEnableSpeakerDiarization(boolean value)
public RecognitionConfig.Builder setEnableSpeakerDiarization(boolean value)
If 'true', enables speaker detection for each recognized word in the top alternative of the recognition result using a speaker_tag provided in the WordInfo. Note: Use diarization_config instead.
bool enable_speaker_diarization = 16 [deprecated = true];
| Name | Description |
| value | boolean The enableSpeakerDiarization to set. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
setEnableSpokenEmojis(BoolValue value)
public RecognitionConfig.Builder setEnableSpokenEmojis(BoolValue value)
The spoken emoji behavior for the call If not set, uses default behavior based on model of choice If 'true', adds spoken emoji formatting for the request. This will replace spoken emojis with the corresponding Unicode symbols in the final transcript. If 'false', spoken emojis are not replaced.
.google.protobuf.BoolValue enable_spoken_emojis = 23;
| Name | Description |
| value | BoolValue |
| Type | Description |
| RecognitionConfig.Builder |
setEnableSpokenEmojis(BoolValue.Builder builderForValue)
public RecognitionConfig.Builder setEnableSpokenEmojis(BoolValue.Builder builderForValue)
The spoken emoji behavior for the call If not set, uses default behavior based on model of choice If 'true', adds spoken emoji formatting for the request. This will replace spoken emojis with the corresponding Unicode symbols in the final transcript. If 'false', spoken emojis are not replaced.
.google.protobuf.BoolValue enable_spoken_emojis = 23;
| Name | Description |
| builderForValue | Builder |
| Type | Description |
| RecognitionConfig.Builder |
setEnableSpokenPunctuation(BoolValue value)
public RecognitionConfig.Builder setEnableSpokenPunctuation(BoolValue value)
The spoken punctuation behavior for the call If not set, uses default behavior based on model of choice e.g. command_and_search will enable spoken punctuation by default If 'true', replaces spoken punctuation with the corresponding symbols in the request. For example, "how are you question mark" becomes "how are you?". See https://cloud.google.com/speech-to-text/docs/spoken-punctuation for support. If 'false', spoken punctuation is not replaced.
.google.protobuf.BoolValue enable_spoken_punctuation = 22;
| Name | Description |
| value | BoolValue |
| Type | Description |
| RecognitionConfig.Builder |
setEnableSpokenPunctuation(BoolValue.Builder builderForValue)
public RecognitionConfig.Builder setEnableSpokenPunctuation(BoolValue.Builder builderForValue)
The spoken punctuation behavior for the call If not set, uses default behavior based on model of choice e.g. command_and_search will enable spoken punctuation by default If 'true', replaces spoken punctuation with the corresponding symbols in the request. For example, "how are you question mark" becomes "how are you?". See https://cloud.google.com/speech-to-text/docs/spoken-punctuation for support. If 'false', spoken punctuation is not replaced.
.google.protobuf.BoolValue enable_spoken_punctuation = 22;
| Name | Description |
| builderForValue | Builder |
| Type | Description |
| RecognitionConfig.Builder |
setEnableWordConfidence(boolean value)
public RecognitionConfig.Builder setEnableWordConfidence(boolean value)
If true
, the top result includes a list of words and the
confidence for those words. If false
, no word-level confidence
information is returned. The default is false
.
bool enable_word_confidence = 15;
| Name | Description |
| value | boolean The enableWordConfidence to set. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
setEnableWordTimeOffsets(boolean value)
public RecognitionConfig.Builder setEnableWordTimeOffsets(boolean value)
If true
, the top result includes a list of words and
the start and end time offsets (timestamps) for those words. If
false
, no word-level time offset information is returned. The default is
false
.
bool enable_word_time_offsets = 8;
| Name | Description |
| value | boolean The enableWordTimeOffsets to set. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
setEncoding(RecognitionConfig.AudioEncoding value)
public RecognitionConfig.Builder setEncoding(RecognitionConfig.AudioEncoding value)
Encoding of audio data sent in all RecognitionAudio
messages.
This field is optional for FLAC
and WAV
audio files and required
for all other audio formats. For details, see AudioEncoding.
.google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding encoding = 1;
| Name | Description |
| value | RecognitionConfig.AudioEncoding The encoding to set. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
setEncodingValue(int value)
public RecognitionConfig.Builder setEncodingValue(int value)
Encoding of audio data sent in all RecognitionAudio
messages.
This field is optional for FLAC
and WAV
audio files and required
for all other audio formats. For details, see AudioEncoding.
.google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding encoding = 1;
| Name | Description |
| value | int The enum numeric value on the wire for encoding to set. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public RecognitionConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
| Name | Description |
| field | FieldDescriptor |
| value | Object |
| Type | Description |
| RecognitionConfig.Builder |
setLanguageCode(String value)
public RecognitionConfig.Builder setLanguageCode(String value)
Required. The language of the supplied audio as a BCP-47 language tag. Example: "en-US". See Language Support for a list of the currently supported language codes.
string language_code = 3 [(.google.api.field_behavior) = REQUIRED];
| Name | Description |
| value | String The languageCode to set. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
setLanguageCodeBytes(ByteString value)
public RecognitionConfig.Builder setLanguageCodeBytes(ByteString value)
Required. The language of the supplied audio as a BCP-47 language tag. Example: "en-US". See Language Support for a list of the currently supported language codes.
string language_code = 3 [(.google.api.field_behavior) = REQUIRED];
| Name | Description |
| value | ByteString The bytes for languageCode to set. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
setMaxAlternatives(int value)
public RecognitionConfig.Builder setMaxAlternatives(int value)
Maximum number of recognition hypotheses to be returned.
Specifically, the maximum number of SpeechRecognitionAlternative
messages
within each SpeechRecognitionResult
.
The server may return fewer than max_alternatives
.
Valid values are 0
-30
. A value of 0
or 1
will return a maximum of
one. If omitted, will return a maximum of one.
int32 max_alternatives = 4;
| Name | Description |
| value | int The maxAlternatives to set. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
setMetadata(RecognitionMetadata value)
public RecognitionConfig.Builder setMetadata(RecognitionMetadata value)
Metadata regarding this request.
.google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;
| Name | Description |
| value | RecognitionMetadata |
| Type | Description |
| RecognitionConfig.Builder |
setMetadata(RecognitionMetadata.Builder builderForValue)
public RecognitionConfig.Builder setMetadata(RecognitionMetadata.Builder builderForValue)
Metadata regarding this request.
.google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;
| Name | Description |
| builderForValue | RecognitionMetadata.Builder |
| Type | Description |
| RecognitionConfig.Builder |
setModel(String value)
public RecognitionConfig.Builder setModel(String value)
Which model to select for the given request. Select the model best suited to your domain to get best results. If a model is not explicitly specified, then we auto-select a model based on the parameters in the RecognitionConfig.

 Model	 Description

 command_and_search	 Best for short queries such as voice commands or voice search.

 phone_call	 Best for audio that originated from a phone call (typically recorded at an 8khz sampling rate).

 video	 Best for audio that originated from video or includes multiple speakers. Ideally the audio is recorded at a 16khz or greater sampling rate. This is a premium model that costs more than the standard rate.

 default	 Best for audio that is not one of the specific audio models. For example, long-form audio. Ideally the audio is high-fidelity, recorded at a 16khz or greater sampling rate.

string model = 13;
| Name | Description |
| value | String The model to set. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
setModelBytes(ByteString value)
public RecognitionConfig.Builder setModelBytes(ByteString value)
Which model to select for the given request. Select the model best suited to your domain to get best results. If a model is not explicitly specified, then we auto-select a model based on the parameters in the RecognitionConfig.

 Model	 Description

 command_and_search	 Best for short queries such as voice commands or voice search.

 phone_call	 Best for audio that originated from a phone call (typically recorded at an 8khz sampling rate).

 video	 Best for audio that originated from video or includes multiple speakers. Ideally the audio is recorded at a 16khz or greater sampling rate. This is a premium model that costs more than the standard rate.

 default	 Best for audio that is not one of the specific audio models. For example, long-form audio. Ideally the audio is high-fidelity, recorded at a 16khz or greater sampling rate.

string model = 13;
| Name | Description |
| value | ByteString The bytes for model to set. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
setProfanityFilter(boolean value)
public RecognitionConfig.Builder setProfanityFilter(boolean value)
If set to true
, the server will attempt to filter out
profanities, replacing all but the initial character in each filtered word
with asterisks, e.g. "f***". If set to false
or omitted, profanities
won't be filtered out.
bool profanity_filter = 5;
| Name | Description |
| value | boolean The profanityFilter to set. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public RecognitionConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
| Name | Description |
| field | FieldDescriptor |
| index | int |
| value | Object |
| Type | Description |
| RecognitionConfig.Builder |
setSampleRateHertz(int value)
public RecognitionConfig.Builder setSampleRateHertz(int value)
Sample rate in Hertz of the audio data sent in all
RecognitionAudio
messages. Valid values are: 8000-48000.
16000 is optimal. For best results, set the sampling rate of the audio
source to 16000 Hz. If that's not possible, use the native sample rate of
the audio source (instead of re-sampling).
This field is optional for FLAC and WAV audio files, but is
required for all other audio formats. For details, see AudioEncoding.
int32 sample_rate_hertz = 2;
| Name | Description |
| value | int The sampleRateHertz to set. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |
setSpeechContexts(int index, SpeechContext value)
public RecognitionConfig.Builder setSpeechContexts(int index, SpeechContext value)
Array of SpeechContext. A means to provide context to assist the speech recognition. For more information, see speech adaptation.
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
| Name | Description |
| index | int |
| value | SpeechContext |
| Type | Description |
| RecognitionConfig.Builder |
setSpeechContexts(int index, SpeechContext.Builder builderForValue)
public RecognitionConfig.Builder setSpeechContexts(int index, SpeechContext.Builder builderForValue)
Array of SpeechContext. A means to provide context to assist the speech recognition. For more information, see speech adaptation.
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
| Name | Description |
| index | int |
| builderForValue | SpeechContext.Builder |
| Type | Description |
| RecognitionConfig.Builder |
setTranscriptNormalization(TranscriptNormalization value)
public RecognitionConfig.Builder setTranscriptNormalization(TranscriptNormalization value)
Use transcription normalization to automatically replace parts of the transcript with phrases of your choosing. For StreamingRecognize, this normalization only applies to stable partial transcripts (stability > 0.8) and final transcripts.
.google.cloud.speech.v1p1beta1.TranscriptNormalization transcript_normalization = 24;
| Name | Description |
| value | TranscriptNormalization |
| Type | Description |
| RecognitionConfig.Builder |
setTranscriptNormalization(TranscriptNormalization.Builder builderForValue)
public RecognitionConfig.Builder setTranscriptNormalization(TranscriptNormalization.Builder builderForValue)
Use transcription normalization to automatically replace parts of the transcript with phrases of your choosing. For StreamingRecognize, this normalization only applies to stable partial transcripts (stability > 0.8) and final transcripts.
.google.cloud.speech.v1p1beta1.TranscriptNormalization transcript_normalization = 24;
| Name | Description |
| builderForValue | TranscriptNormalization.Builder |
| Type | Description |
| RecognitionConfig.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final RecognitionConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
| Name | Description |
| unknownFields | UnknownFieldSet |
| Type | Description |
| RecognitionConfig.Builder |
setUseEnhanced(boolean value)
public RecognitionConfig.Builder setUseEnhanced(boolean value)
Set to true to use an enhanced model for speech recognition.
If use_enhanced
is set to true and the model
field is not set, then
an appropriate enhanced model is chosen if an enhanced model exists for
the audio.
If use_enhanced
is true and an enhanced version of the specified model
does not exist, then the speech is recognized using the standard version
of the specified model.
bool use_enhanced = 14;
| Name | Description |
| value | boolean The useEnhanced to set. |
| Type | Description |
| RecognitionConfig.Builder | This builder for chaining. |


Hungary, Poland block EU conclusions on rule of law
by EUobserverHungary and Poland on Tuesday blocked a conclusion on the evaluation of the annual rule of law dialogue among member states. The Finnish EU presidency published the conclusions, representing consensus among the other 26 member states on strengthening the process. The 26 agreed the dialogue could use the EU commission's planned annual rule of law reports. Hungary and Poland objected to linking the annual report to the council's dialogue.


496_stonecr0wn.java
class Solution {
public double getMinDistSum(int[][] positions) {
double res = 0;
double[] meanpnt = new double[2];
for (int[] pos : positions) {
meanpnt[0] += pos[0];
meanpnt[1] += pos[1];
}
meanpnt[0] /= positions.length;
meanpnt[1] /= positions.length;
double minSum = sumPnts(positions, meanpnt);
double breaklimit = 0.000001;
double start = 300;
double[][] dirs = {{-1, 0}, {0, -1}, {0, 1}, {1, 0}};
while (start > breaklimit) {
boolean found = false;
for (double[] d : dirs) {
double[] newpnt = new double[] {meanpnt[0] + start * d[1], meanpnt[1] + start * d[0]};
double newSum = sumPnts(positions, newpnt);
if (newSum < minSum) {
found = true;
minSum = newSum;
meanpnt = newpnt;
break;
}
}
if (!found) {
start /= 2;
}
}
return minSum;
}
public double sumPnts(int[][] positions, double[] meanpnt) {
double sum = 0;
for (int[] pos : positions) {
double xdiff = Math.abs(meanpnt[0] - pos[0]);
double ydiff = Math.abs(meanpnt[1] - pos[1]);
double diff = Math.sqrt(xdiff * xdiff + ydiff * ydiff);
sum += diff;
}
return sum;
}
}


新しいメールアドレス：<EMAIL_ADDRESS>Dear Friend,
I am Barrister Raymond David,a solicitor at law,in Lome-Togo.You are required to assist in the transfer of (US$10.3M).Contact me for further details.Pls,treat privately.
Best Regards
Barr.Raymond David
- Barrister Raymond David


May 24, 2015
Yoga & Devbootcamp (DBC)
I never thought this day would come - me with a blog. I somehow doubt that blogging and tweeting will be the only new behaviors I will inherit from this educational adventure called Devbootcamp. This post marks the completion point of week one. The following is my response to a discussion on DBC culture.I was first introduced to the DBC philosophy in a yoga studio. I've been an avid hot yoga practitioner for the past few years. I went so far as to obtain a teacher's certification - 200 hours of the best good sweaty fun that can be had while clothed. For those of you that have never done yoga and/or have no idea where I'm going with this, let me explain! The way you become 'better' at yoga is oddly similar to the way DBC would have us become 'better' at web development. Ready? I'm going to make a list of advice given to new boots:
- Come in with the attitude of "This is *my* time, I'm going to make it awesome"
- Know that "This is all one big experiment"
- "Bring yourself to the table and believe in others to do the same"
- "Come in and MAKE A MESS"
- Identify your fears because "Fear will only hold you back"
- "We'll provide the structure and the setting so that you can kick your own ass"
- "To succeed, you have to make yourself vulnerable"
- "Be motivated, be inspired, and be inspiring"
The thing is, all of those phrases would be equally as appropriate if stated in a yoga class. It's a radical shift from the traditional educational paradigm, that rewards being 'right' above being inspired. I find this new paradigm captivating. I truly believe it is the best mindset to have to succeed in ... anything, and I'm incredibly grateful to have the opportunity to practice it.


{% extends 'base.html' %} {% block pagetitle %}Getting Started{% endblock %} {% block css%} .jumbotron { background: #2E82D1; background: -webkit-linear-gradient(#2E82D1, #7CC1EC); /* For Safari */ background: -o-linear-gradient(#2E82D1, #7CC1EC); /* For Opera 11.1 to 12.0 */ background: -moz-linear-gradient(#2E82D1, #7CC1EC); /* For Firefox 3.6 to 15 */ background: linear-gradient(#2E82D1, #7CC1EC); /* Standard syntax (must be last) */ } h1{ position:relative;} h1 span{ position:absolute; top:-70px;} h2{ position:relative;} h2 span{ position:absolute; top:-70px;} h3{ position:relative; } h3 span{ position:absolute; top:-70px;} {% endblock %} {% block javascript%} {% endblock %} {% block header %}
Viewing information can be very easy within only 3 simple steps!
The first step is to retrieve what you are actually interested in from all the information stored in the database. Depending on your needs, SNVdb offers three search modes: by Uniprot accession number, by SNV FTID or by disease name.
Just select your preferred search mode from the drop-down menu in the home page, and enter your query in the search bar below.
If your search returns more than one entry from the database, you will be taken to the Search Results page. Simply click on your favourite entry from the list.
In case you mistyped something, you will be able to see the search term that you used and type the right word in.
Finally, you can see your entry here. Depending on whether it is a protein, a SNV, a disease, an interaction or an interface, the page will look slightly different:
Search
Select
Visualise
An Uniprot entry describes a protein in the database. It is defined by the ID number by which you can find the protein in Uniprot.
These entries are divided in five sections:
Here you can find some useful data about the protein and the gene encoding for it (including links to NCBI/Gene and Uniprot) as well as the link to the raw sequence (with an option to export it as a FASTA file).
If the protein has any associated interactions, you can also find an image of the 3D structure of the protein.
Also, you can toggle each of the other sections on and off by clicking on the tick boxes in the "Display" box.
Whilst the SNVs map to defined sequence positions for a given protein, the interface residues for each of its interacting partners vary.
In this section, you can see both things at the same time on a graph. The "Default" tab shows only the SNVs.
The top, blue rectangle represents the protein sequence, with the SNVs plotted in red, green, blue or purple (depending on their association with disease).
The grey rectangle shows the Pfam domains detected in the protein sequence, highlighting them in red and green, alternatively. Hover over each domain to see what kind of domain it is, along with some data associated with it.
To add the information about interface residues in the interaction with a particular partner, just go to the top of this section and click on the corresponding tab. The interface residues of the protein for a that partner will be highlighted in yellow.
Finally, hover over a highlighted residue to see some more information about it. If you click on a residue with a SNV, you will go to the SNV entry describing it.
All this information is also plotted residue by residue in the detailed alignment below.
This section describes the Pfam domains that have been detected for the protein. The domain positions are plotted with respect to the protein sequence, and you can also see a list with the positions where the sequence matches the Pfam HMM for that domain, along with the statistical parameters that validate the domain.
If you want to find out more about that domain, and other proteins sharing the same domain, you can click on the external link to Pfam, where you will find more information about domains.
Here we include a list of binary interactions for the protein of interest. For each one, you can see its ID on our database, the two proteins taking part in the interaction, and whether the structure of the complex has been experimentally determined or computationally modelled.
Under this information, the site displays a representation of the two proteins, with the interface residues marked in yellow.
There are also buttons that will lead you to the interaction entry (where you can see the 3D structure of the complex via JsMOL), the interface entry (where you can see the atom-atom interactions that hold the complex together) and the PDB file describing it.
If you prefer to have the PDB file to visualize it your preferred viewer (such as PyMOL), you can also download it from here.
Here you can find a list of SNVs that have an effect on the protein sequence. For each one, we show the position, the change on the sequence, the FT id and the rs id (so that you can find it in Uniprot and dbSNP).
If the SNV is associated with a disease, you can also see which disease it is, and the OMIM code describing it.
To find out more about each SNV, just click on the FT id link and we will take you to the SNV entry describing it on our database. We also provide some links to external databases (OMIM and dbSNP). If so many links seem a bit confusing, just hover on each link to see if it links to one of the entries in SNVdb, or it leads to an external database.
A SNV entry describes a single nucleotide variation affecting a particular protein. These entries are divided in four sections:
Here we provide some data about the SNV, such as the protein and position that it maps to (according to the Uniprot numbering), the change in sequence that it causes, and whether it is associated to any disease. If the SNV has a dbSNP id (rs ID), you can also see it here, and find a link to the dbSNP entry.
This is a list of the diseases directly associated to this variation. You can find the link to the SNVdb disease entry and the OMIM code and link for each disease.
Here you can see the SNV mapped to the sequence of the protein that it is associated to. The residue corresponding to the SNV is highlighted.
If there are more SNVs mapping to this position in the protein, you can find a list here, along with some data and the link to the SNVdb entry for each SNV.
A disease entry displays information about a particular disorder. These entries are divided in four sections:
Here we display the disease ID (which is the same as the OMIM ID) and the name of the disease.
Here you can find diseases sharing some SNVs with the disease of interest. Just click on the links and see the disease entries for them.
This is a list of the SNVs associated with this disease. Click on the link on the "ID" column and see the SNV entries for them.
Some proteins are associated with more than one disease. If any of the proteins associated with the disease of interest are associated with other disorders, you will see them in this list.
IN DEVELOPMENT
An interaction entry displays information about the three-dimensional structure of a complex between two proteins (named "partners"), capable of interacting with each other.
These entries are divided in three parts:
The interaction PDB file is displayed on a JSMol plugin. If you already know how to use this molecule viewer, you will be happy to know that all the features of JSMol are available on the plugin. Just right-click on the structure to see the available commands on JSMol GUI, including a console to use command-line instructions).
If this is your first time with JSMol, here are three basic actions that will help you explore the structure of the complex:
However, we have set up some quick buttons to allow you to map the features stored in the database onto the structure. You can find them right next to the plugin, and they are divided in four tabs: Basic, SNV, PFAM and Contact. Just click on each one to access its features.
This tab includes some general options about the structure. Here you can:
The Basic tab
This tab includes the options to map SNVs onto the 3D structure. Here you can:
The SNVs color will be different according to their disease association:
The SNV tab
This tab includes the options to map Pfam domains and families onto the 3D structure. Here you can:
The different Pfam hits will be mapped in different colors:
The Pfam tab
This tab includes all the options to map the bonds that keep the complex together. Here you can:
The Contacts tab
Please note that, to simplify the interaction and minimise loading times, only one bond per residue pair is displayed, and always between the alpha carbons of both residues (even though the atoms actually establishing the interaction might be others in the same residues).
The priority to choose from the different bond types for each residue pair is:
Disulfide bond > Hydrogen bond > Polar interaction > Hydrophobic interaction > Unknown interaction
This means, for example, that hydrogen bonds between two residues that also share a disulfide bond, or hydrophobic interactions between two residues that also establish polar interactions with each other, will not be displayed.
IN DEVELOPMENT
This website is based on Bootstrap framework which supports several desktop and mobile browsers. However, old browsers might not display our website correctly.
Although our website can run on mobile devices, it is reccommended that you browse our website using latest versions of web browsers shown above from your desktop PC with screen resolution not less than 970 px for the best display.
Supported browsers and devices are shown below. This table is taken from the official Bootstrap website.
| Chrome | Firefox | Internet Explorer | Opera | Safari | |
|---|---|---|---|---|---|
| Android | Supported | Not Supported | N/A | Not Supported | N/A |
| iOS | Supported | N/A | Not Supported | Supported | |
| Mac OS X | Supported | Supported | Supported | Supported | |
| Windows | Supported | Supported | Supported | Supported | Not Supported |
Note that Internet Explorer 6 or lower are not supported. For Linux platform, the website should look and behave well enough in Chrome and Firefox.


GIF Site Gfycat Announces Mass Deletions, Threatens Archive Team With Lawsuit
by BeauHDGfycat is threatening to sue Archive Team for archiving the site's old, anonymously-posted images that are marked for deletion. Gfycat's CEO, Dan McEleney, says archiving the memes it hosts is a "denial of service attack" and demands compensation. From a report: The fallout is ongoing on Twitter, with users of the site panicking about their old content and the company asking for (and being refused) private negotiations with Internet Archive, which [Archive Team founder Jason Scott] points out is not the same entity as the legally-threatened Archive Team.


The 1956 Winter Olympics, officially known as the VII Olympic Winter Games (French: Les VIIes Jeux olympiques d'hiver) (Italian: VII Giochi olimpici invernali), was a multi-sport event celebrated in Cortina d'Ampezzo, Italy, from 26 January to 5 February 1956.
Cortina, which had originally been awarded the 1944 Winter Olympics, beat out Montreal, Colorado Springs and Lake Placid for the right to host the 1956 Games. The Cortina Games were unique in that many of the venues were within walking distance of each other. The organising committee received financial support from the Italian government for infrastructure improvements, but the rest of the costs for the Games had to be privately financed. Consequently, the organising committee was the first to rely heavily on corporate sponsorship for funding.
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