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# TurkicASR: Multilingual Speech Recognition for Turkic Languages
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**Repository:** [https://github.com/
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This repository contains the code and pre-trained models for the paper "Multilingual Speech Recognition for Turkic Languages." It provides a multilingual speech recognition system trained on various datasets encompassing Azerbaijani, Bashkir, Chuvash, Kazakh, Kyrgyz, Sakha, Turkish, Tatar, Uzbek, and Uyghur languages. The system utilizes the ESPnet framework and offers pre-trained models for download and inference.
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**Pre-trained Models:**
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| `all_languages_model.zip` | [https://drive.google.com/file/d/15Dc4Uwzqqrw3jkE5-zrgVAyNddGS7onw/view?usp=sharing](https://drive.google.com/file/d/15Dc4Uwzqqrw3jkE5-zrgVAyNddGS7onw/view?usp=sharing) |
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**Datasets:**
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**Citation:**
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```bibtex
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@Article{info14020074,
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AUTHOR = {Mussakhojayeva, Saida and Dauletbek, Kaisar and Yeshpanov, Rustem and Varol, Huseyin Atakan},
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TITLE = {Multilingual Speech Recognition for Turkic Languages},
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JOURNAL = {Information},
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VOLUME = {14},
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YEAR = {2023},
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NUMBER = {2},
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ARTICLE-NUMBER = {74},
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URL = {https://www.mdpi.com/2078-2489/14/2/74},
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ISSN = {2078-2489}
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}
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```
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# TurkicASR: Multilingual Speech Recognition for Turkic Languages
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**Repository:** [https://github.com/your-username/TurkicASR](Replace with actual repository link)
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This repository contains the code and pre-trained models for the paper "Multilingual Speech Recognition for Turkic Languages" [^1]. It focuses on building a multilingual Automatic Speech Recognition (ASR) system for various Turkic languages.
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## Summary
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This project provides pre-trained models and code for multilingual speech recognition across ten Turkic languages: Azerbaijani, Bashkir, Chuvash, Kazakh, Kyrgyz, Sakha, Turkish, Tatar, Uzbek, and Uyghur. The models are trained using a combination of datasets, including KSC, TSC, USC, and Common Voice 10.0. The codebase is built upon ESPnet and requires its installation. Pre-trained models are available for download, along with instructions for inference using WAV audio files.
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## Pre-trained Models
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| Model | Download Link |
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|----------------------------|--------------------------------------------------------------------------------------------------------------|
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| `turkic_languages_model.zip` | [https://drive.google.com/file/d/1GtK-OrH3ZRYz2Zc8vf-xndp7R9dic4rV/view?usp=sharing](https://drive.google.com/file/d/1GtK-OrH3ZRYz2Zc8vf-xndp7R9dic4rV/view?usp=sharing) |
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| `all_languages_model.zip` | [https://drive.google.com/file/d/15Dc4Uwzqqrw3jkE5-zrgVAyNddGS7onw/view?usp=sharing](https://drive.google.com/file/d/15Dc4Uwzqqrw3jkE5-zrgVAyNddGS7onw/view?usp=sharing) |
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## Datasets
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The ASR model was trained using several datasets:
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* KSC: [https://docs.google.com/forms/d/e/1FAIpQLSf_usCjxTvbH_2xhA6slH9FAfjrYVd4OHnr-CUcVVW3TEAscg/viewform](https://docs.google.com/forms/d/e/1FAIpQLSf_usCjxTvbH_2xhA6slH9FAfjrYVd4OHnr-CUcVVW3TEAscg/viewform)
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* TSC: [https://forms.gle/xjsnC3uVmzRYuWBA8](https://forms.gle/xjsnC3uVmzRYuWBA8)
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* USC: [https://docs.google.com/forms/d/e/1FAIpQLSeWhxsVe0WlGSQ459sq6--pAqYyEWTI2K6X8UrF357GUvnDQA/viewform](https://docs.google.com/forms/d/e/1FAIpQLSeWhxsVe0WlGSQ459sq6--pAqYyEWTI2K6X8UrF357GUvnDQA/viewform)
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* Common Voice 10.0: [https://commonvoice.mozilla.org/en/datasets](https://commonvoice.mozilla.org/en/datasets)
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## Citation
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[^1]: Mussakhojayeva, Saida and Dauletbek, Kaisar and Yeshpanov, Rustem and Varol, Huseyin Atakan. (2023). Multilingual Speech Recognition for Turkic Languages. *Information*. 14. 74. 10.3390/info14020074.
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