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--- |
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dataset_info: |
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features: |
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- name: audio |
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dtype: audio |
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- name: transcription |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 60099013529.5 |
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num_examples: 204250 |
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download_size: 72019155235 |
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dataset_size: 60099013529.5 |
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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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language: |
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- kk |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Kazakh Speech Dataset (KSD) |
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### Identifier: SLR140 |
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Source: https://www.openslr.org/140/ |
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Summary: High-quality open source Kazakh speech corpus developed by the Department of Artificial Intelligence and Big Data of Al-Farabi Kazakh National University (554 hours) |
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Category: Speech |
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License: Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0 US) |
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About this resource: |
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High-quality open source Kazakh speech corpus. |
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The corpus contains about 554 hours of transcribed audio recordings, including 204250 utterances uttered by participants from different regions and age groups, as well as by both sexes. |
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All audio files were recorded using mobile devices (iOS and Android). |
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The corpus was selectively checked by native speakers of the Kazakh language to ensure high quality. |
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The data set is primarily intended for use in training systems for automatic speech recognition. |
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Technical characteristics of audio files: .wav format, 16 kB, 22 and 44 kHz. |
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The founders of the corpus: |
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- Nurgali Kadyrbek(https://orcid.org/0000-0002-5461-8899) |
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- Madina Mansurova(https://orcid.org/0000-0002-9680-2758) |
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To cite the dataset, please use the following BibTeX entry: |
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``` |
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@inproceedings{ |
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mansurova-kadyrbek-2023-kazakh-speech-dataset, |
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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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author = "Madina Mansurova and Nurgali Kadyrbek", |
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booktitle = "Proceedings of the Big Data and Cognitive Computing", |
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month = "July 20", |
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year = "2023", |
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pages = "5--9", |
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url = "https://doi.org/10.3390/bdcc7030132" |
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} |
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``` |
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