---
license: afl-3.0
language:
- kk
tags:
- asr
- stt
dataset_info:
  features:
  - name: id
    dtype: string
  - name: text
    dtype: string
  - name: audio
    dtype: audio
  - name: __index_level_0__
    dtype: int64
  splits:
  - name: train
    num_bytes: 53592858098.28
    num_examples: 142969
  - name: val
    num_bytes: 10829738188.509
    num_examples: 30643
  - name: test
    num_bytes: 10943857758.824
    num_examples: 30638
  download_size: 70985700752
  dataset_size: 75366454045.613
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: val
    path: data/val-*
  - split: test
    path: data/test-*
---

# Kazakh Speech Dataset (KSD)

## 1. Dataset Summary
- **Purpose**: High-quality, open-source Kazakh speech dataset for Automatic Speech Recognition (ASR) system development.
- **Developed by**: Department of Artificial Intelligence and Big Data, Al-Farabi Kazakh National University.
- **Total Duration**: 554 hours of recorded speech.
- **Total Number of Speakers**: 873
- **Average Sentences per Speaker**: 250 sentences (utterances).
- **Total Utterances**: 204,250
- **File Format**: `.wav`
- **Audio Characteristics**: 
  - Sample Rates: 16 kHz or 22 kHz
  - Bit Depth: 16-bit
  - Channels: Mono

## 2. Corpus Features
- **Speaker Diversity**: Speakers from diverse regions, age groups, and genders.
- **Recording Devices**: Recorded using mobile devices (iOS and Android).
- **Transcription Quality**: Verified by native Kazakh speakers for accuracy.

## 3. Applications
- **Primary Use Case**: Automatic Speech Recognition (ASR) system training.
- **Additional Use Cases**:
  - Speech-to-text systems.
  - Voice-activated assistants.
  - Speaker identification.
  - Linguistic research on Kazakh phonetics and dialects.

## 4. Technical Characteristics
- **File Format**: `.wav`
- **Sample Rates**: 16 kHz, 22 kHz, or 44 kHz.
- **Bit Depth**: 16-bit
- **Channels**: Mono
- **Recording Devices**: Mobile devices (iOS, Android).

## 5. Citation
If you use this dataset, please cite it as follows:

```bibtex
@article{kadyrbek2023ksd,
  author = {Kadyrbek, N.; Mansurova, M.; Shomanov, A.; Makharova, G.},
  title = {The Development of a Kazakh Speech Recognition Model Using a Convolutional Neural Network with Fixed Character Level Filters},
  journal = {Big Data and Cognitive Computing},
  year = {2023},
  volume = {7},
  number = {3},
  pages = {132},
  doi = {https://doi.org/10.3390/bdcc7030132}
}