---
license: cc-by-nc-4.0  
language:
- kk
tags:
- kazakh
- speech
- voice-design
- paralinguistics
- non-verbal-vocalization
- prompt-controllable-tts
size_categories:
- 10K<n<100K
pretty_name: KazParaD
configs:
- config_name: demographic
  data_files: demographic/*
- config_name: nvv
  data_files: nvv/*
---

# KazParaD: A Kazakh Paralinguistic Speech Dataset

[![Paper Web Page](https://img.shields.io/badge/📄_Paper_Web_Page-blue)](https://is2ai.github.io/kazparad/)
[![Try out](https://img.shields.io/badge/🤗_Try_out-KazGenericTTS-yellow)](https://issai-kazparad-gradio-demo.hf.space/)
[![Model](https://img.shields.io/badge/🤗_Model-KazGenericTTS-yellow)](https://huggingface.co/issai/KazGenericTTS)

KazParaD is a multi-source Kazakh speech corpus for prompt-controllable text-to-speech. It pairs speech with controlled-vocabulary style attributes (gender, age, pitch, emotion) and with 18 categories of non-verbal vocalizations (NVV). It was built to train and evaluate attribute-controllable TTS and NVV synthesis for a low-resource language.

The corpus has two subsets:

| Subset | Utterances | Hours | Mean duration |
|--|--|--|--|
| `demographic` (paralinguistic) | 69,817 | 62.31 | 3.21 s |
| `nvv` (nvv-18tags) | 12,720 | 21.89 | 6.20 s |
| **Total** | **82,537** | **84.20** |  |

## The demographic subset

Source recordings are in-the-wild YouTube sourced Kazakh speech recordings. A subset of the labels is validated by native speakers.

## The NVV subset

The NVV subset is synthetic: Kazakh sentences, each containing exactly one inline NVV tag (e.g. `[laugh]`, `[sigh]`, `[cough]`), were rendered by a text-to-speech system ElevenLabs across a small set of fixed speaker profiles spanning two genders and two age groups. 

## Audio format

- Container: WAV (PCM 16-bit), mono
- Sample rate: uniform 24 kHz 

## Attribute distributions

### Gender (demographic subset)

| Value | Count | % of labeled |
|--|--:|--:|
| M | 31,892 | 45.7% |
| F | 37,916 | 54.3% |


### Age category (demographic subset)

| Value | Count | % |
|--|--:|--:|
| child | 20,394 | 29.2% |
| young | 17,620 | 25.2% |
| adult | 19,188 | 27.5% |
| senior | 12,615 | 18.1% |

### Pitch (demographic subset)

| Value | Count | % |
|--|--:|--:|
| very high | 28,129 | 40.3% |
| high | 16,421 | 23.5% |
| medium | 11,185 | 16.0% |
| low | 7,722 | 11.1% |
| very low | 6,360 | 9.1% |

### Emotion (demographic subset)

| Value | Count | % of labeled |
|--|--:|--:|
| neutral | 15,049 | 21.6% |
| sad | 10,593 | 15.2% |
| happy | 10,473 | 15.0% |
| angry | 9,687 | 13.9% |
| fearful | 9,410 | 13.5% |
| disgusted | 8,346 | 12.0% |
| surprised | 6,248 | 9.0% |

### NVV tags (18 categories)

| Tag | Count | % |
|--|--:|--:|
| [long pause] | 1,077 | 8.5% |
| [gasp] | 1,047 | 8.2% |
| [sigh] | 1,027 | 8.1% |
| [sniffle] | 996 | 7.8% |
| [chuckle] | 993 | 7.8% |
| [laugh] | 945 | 7.4% |
| [groan] | 895 | 7.1% |
| [cough] | 889 | 7.0% |
| [whispers] | 882 | 6.9% |
| [yawn] | 796 | 6.3% |
| [singing] | 617 | 4.9% |
| [stutters] | 518 | 4.1% |
| [burps] | 397 | 3.1% |
| [hiccups] | 363 | 2.9% |
| [chewing] | 319 | 2.5% |
| [smacks lips] | 317 | 2.5% |
| [swallows] | 316 | 2.5% |
| [tsking] | 297 | 2.3% |

Counts are over the 12,720 utterances of the NVV subset.

## Licensing and terms

The annotations, transcripts, metadata and segment index are our own work and are released under CC BY-NC 4.0.

## Citation

Paper is under review. A citation will be added here once it is published. Until then, please link to this repository.