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---
license: mit
language:
- uz
tags:
- audio
- speech
task_categories:
- automatic-speech-recognition
---
# Uzbek Speech Corpus (USC)
**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)
**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.
**Dataset Summary:**
| Feature | Description |
|-----------------|--------------------------------------------------|
| Language | Uzbek |
| Size | 105 hours of audio |
| Number of Speakers | 958 |
| Transcription | Manual, checked by native speakers |
| ASR Architectures | DNN-HMM and End-to-End (E2E) |
| WER (Validation) | 18.1% |
| WER (Test) | 17.4% |
**Github Repository:** https://github.com/IS2AI/Uzbek_ASR
**Citation:**
```bibtex
@inproceedings{musaev2021usc,
title={USC: An open-source Uzbek speech corpus and initial speech recognition experiments},
author={Musaev, Muhammadjon and Mussakhojayeva, Saida and Khujayorov, Ilyos and Khassanov, Yerbolat and Ochilov, Mannon and Atakan Varol, Huseyin},
booktitle={Speech and Computer: 23rd International Conference, SPECOM 2021, St. Petersburg, Russia, September 27--30, 2021, Proceedings 23},
pages={437--447},
year={2021},
organization={Springer}
}
``` |