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--- |
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license: afl-3.0 |
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language: |
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- kk |
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tags: |
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- asr |
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- stt |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: text |
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dtype: string |
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- name: audio |
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dtype: audio |
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- name: __index_level_0__ |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 53592858098.28 |
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num_examples: 142969 |
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- name: val |
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num_bytes: 10829738188.509 |
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num_examples: 30643 |
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- name: test |
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num_bytes: 10943857758.824 |
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num_examples: 30638 |
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download_size: 70985700752 |
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dataset_size: 75366454045.613 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: val |
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path: data/val-* |
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- split: test |
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path: data/test-* |
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--- |
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# Kazakh Speech Dataset (KSD) |
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## 1. Dataset Summary |
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- **Purpose**: High-quality, open-source Kazakh speech dataset for Automatic Speech Recognition (ASR) system development. |
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- **Developed by**: Department of Artificial Intelligence and Big Data, Al-Farabi Kazakh National University. |
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- **Total Duration**: 554 hours of recorded speech. |
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- **Total Number of Speakers**: 873 |
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- **Average Sentences per Speaker**: 250 sentences (utterances). |
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- **Total Utterances**: 204,250 |
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- **File Format**: `.wav` |
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- **Audio Characteristics**: |
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- Sample Rates: 16 kHz or 22 kHz |
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- Bit Depth: 16-bit |
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- Channels: Mono |
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## 2. Corpus Features |
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- **Speaker Diversity**: Speakers from diverse regions, age groups, and genders. |
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- **Recording Devices**: Recorded using mobile devices (iOS and Android). |
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- **Transcription Quality**: Verified by native Kazakh speakers for accuracy. |
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## 3. Applications |
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- **Primary Use Case**: Automatic Speech Recognition (ASR) system training. |
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- **Additional Use Cases**: |
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- Speech-to-text systems. |
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- Voice-activated assistants. |
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- Speaker identification. |
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- Linguistic research on Kazakh phonetics and dialects. |
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## 4. Technical Characteristics |
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- **File Format**: `.wav` |
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- **Sample Rates**: 16 kHz, 22 kHz, or 44 kHz. |
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- **Bit Depth**: 16-bit |
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- **Channels**: Mono |
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- **Recording Devices**: Mobile devices (iOS, Android). |
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## 5. Citation |
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If you use this dataset, please cite it as follows: |
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```bibtex |
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@article{kadyrbek2023ksd, |
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author = {Kadyrbek, N.; Mansurova, M.; Shomanov, A.; Makharova, G.}, |
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title = {The Development of a Kazakh Speech Recognition Model Using a Convolutional Neural Network with Fixed Character Level Filters}, |
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journal = {Big Data and Cognitive Computing}, |
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year = {2023}, |
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volume = {7}, |
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number = {3}, |
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pages = {132}, |
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doi = {https://doi.org/10.3390/bdcc7030132} |
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} |
