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--- |
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license: mit |
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language: |
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- uz |
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tags: |
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- audio |
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- speech |
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task_categories: |
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- automatic-speech-recognition |
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--- |
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# Uzbek Speech Corpus (USC) |
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**Paper:** [USC: An Open-Source Uzbek Speech Corpus and Initial Speech Recognition Experiments](https://link.springer.com/chapter/10.1007/978-3-030-87802-3_40) |
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**Summary:** This repository contains dataset for reproducing the results presented in the paper "USC: An Open-Source Uzbek Speech Corpus". USC is a freely available, manually checked speech corpus comprising 958 speakers and 105 hours of transcribed audio recordings. |
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**Dataset Summary:** |
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| Feature | Description | |
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|-----------------|--------------------------------------------------| |
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| Language | Uzbek | |
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| Size | 105 hours of audio | |
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| Number of Speakers | 958 | |
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| Transcription | Manual, checked by native speakers | |
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| ASR Architectures | DNN-HMM and End-to-End (E2E) | |
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| WER (Validation) | 18.1% | |
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| WER (Test) | 17.4% | |
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**Github Repository:** https://github.com/IS2AI/Uzbek_ASR |
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**Citation:** |
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```bibtex |
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@inproceedings{musaev2021usc, |
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title={USC: An open-source Uzbek speech corpus and initial speech recognition experiments}, |
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author={Musaev, Muhammadjon and Mussakhojayeva, Saida and Khujayorov, Ilyos and Khassanov, Yerbolat and Ochilov, Mannon and Atakan Varol, Huseyin}, |
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booktitle={Speech and Computer: 23rd International Conference, SPECOM 2021, St. Petersburg, Russia, September 27--30, 2021, Proceedings 23}, |
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pages={437--447}, |
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year={2021}, |
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organization={Springer} |
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} |
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``` |
