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Update speechscore.py
Browse files- speechscore.py +24 -22
speechscore.py
CHANGED
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@@ -57,31 +57,33 @@ class ScoresList:
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print(f'Please provide audio path for test_path')
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return
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results = {}
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for audio_id in audio_list:
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results_id = {}
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if reference_path is not None:
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data = self.audio_reader(test_path+'/'+audio_id, reference_path+'/'+audio_id)
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else:
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data = self.audio_reader(test_path+'/'+audio_id, None)
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for score in self.scores:
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result_score = score.scoring(data, window, score_rate)
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results_id[score.name] = result_score
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results[audio_id] = results_id
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elif os.path.isfile(test_path):
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data = self.audio_reader(test_path, reference_path)
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for score in self.scores:
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result_score = score.scoring(data, window, score_rate)
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results[score.name] = result_score
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else:
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data = test_path
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for score in self.scores:
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result_score = score.scoring(data, window, score_rate)
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results[score.name] = result_score
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if return_mean:
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mean_result = compute_mean_results(*results.values())
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print(f'Please provide audio path for test_path')
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return
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results = {}
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if isinstance(test_path, tuple):
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sr, data = test_path
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if sr != 16000:
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data = resampy.resample(data, sr, 16000, axis=0)
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for score in self.scores:
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result_score = score.scoring(data, window, score_rate)
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results[score.name] = result_score
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else:
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if os.path.isdir(test_path):
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audio_list = self.get_audio_list(test_path)
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if audio_list is None: return
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for audio_id in audio_list:
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results_id = {}
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if reference_path is not None:
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data = self.audio_reader(test_path+'/'+audio_id, reference_path+'/'+audio_id)
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else:
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data = self.audio_reader(test_path+'/'+audio_id, None)
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for score in self.scores:
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result_score = score.scoring(data, window, score_rate)
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results_id[score.name] = result_score
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results[audio_id] = results_id
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elif os.path.isfile(test_path):
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data = self.audio_reader(test_path, reference_path)
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for score in self.scores:
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result_score = score.scoring(data, window, score_rate)
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results[score.name] = result_score
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if return_mean:
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mean_result = compute_mean_results(*results.values())
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