README.md

metadata

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:

@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}
}