---
dataset_info:
  features:
  - name: id
    dtype: string
  - name: audio
    dtype: audio
  - name: sentence
    dtype: string
  splits:
  - name: train
    num_bytes: 12400028580.739
    num_examples: 100767
  - name: validation
    num_bytes: 519447209.472
    num_examples: 3783
  - name: test
    num_bytes: 596361411.064
    num_examples: 3837
  download_size: 11656859636
  dataset_size: 13515837201.275
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
license: cc-by-4.0
task_categories:
- automatic-speech-recognition
language:
- uz
tags:
- ISSAI
- USC
- STT
pretty_name: ISSAI_USC
size_categories:
- 100K<n<1M
---

# Uzbek Speech Corpus

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)
## Dataset Description
- **Homepage:** [https://issai.nu.edu.kz/uzbek-asr/](https://issai.nu.edu.kz/uzbek-asr/)
- **Repository:** [https://github.com/IS2AI/Uzbek_ASR](https://github.com/IS2AI/Uzbek_ASR)
- **Paper:** [https://arxiv.org/abs/2107.14419](https://arxiv.org/abs/2107.14419)
- **Point of Contact:** [issai@nu.edu.kz](mailto:issai@nu.edu.kz)
- **Size of downloaded dataset files:** 11.66 GB
- **Size of the generated dataset:** 1.86 GB
- **Total amount of disk used:** 13.52 GB

### Dataset Summary
The Uzbek speech corpus (USC) has been developed in collaboration between [ISSAI](https://issai.nu.edu.kz/) and the [Image and Speech Processing Laboratory in the Department of Computer Systems of the Tashkent University of Information Technologies](https://tuit.uz/en/kompyuter-tizimlari). The USC comprises 958 different speakers with a total of 105 hours of transcribed audio recordings. To ensure high quality, the USC has been manually checked by native speakers. The USC is primarily designed for automatic speech recognition (ASR), however, it can also be used to aid other speech-related tasks, such as speech synthesis and speech translation. To the best of our knowledge, the USC is the first open-source Uzbek speech corpus available for both academic and commercial use under the [Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/) License. We expect that the USC will be a valuable resource for the general speech research community and become the baseline dataset for Uzbek ASR research.

Please refer to [paper](https://arxiv.org/abs/2107.14419) and [GitHub repository](https://github.com/IS2AI/Uzbek_ASR) for further details.

**Disclaimer**: [Abror Shopulatov](https://huggingface.co/murodbek), who was not involved in this research, converted the original dataset and wrote the contents of this model card based on the original paper and blogpost. This is HuggingFace version of the dataset that is created for mainly easy to access usage and can be transfered to original creators upon request.

## Dataset Structure

### Data Instances

- **Size of downloaded dataset files:** 11.66 GB
- **Size of the generated dataset:** 1.86 GB
- **Total amount of disk used:** 13.52 GB

### Data Fields
The data fields are the same among all splits.

- `id`: a `string` feature to indicate id of the given audio and sentence pair.
- `audio`: an `audio` feature to store audio.
- `sentence`: a `string` feature to indicate normalized version of the text of corresponding audio.

### Data Splits

| Category | train | validation | test | total |
| --- | --- | --- | --- | --- |
| Duration (hours) | 96.4 | 4.0 | 4.5 | 104.9 |
| Utterances | 100,767 | 3,783 | 3,837 | 108,387 |
| Words | 569.0k | 22.5k | 27.1k | 618.6k |
| Unique Words | 59.5k | 8.4k | 10.5k | 63.1k |
| Speakers | 879 | 41 | 38 | 958 |

### Citation Information
```
@misc{musaev2021uscopensourceuzbekspeech,
      title={USC: An Open-Source Uzbek Speech Corpus and Initial Speech Recognition Experiments}, 
      author={Muhammadjon Musaev and Saida Mussakhojayeva and Ilyos Khujayorov and Yerbolat Khassanov and Mannon Ochilov and Huseyin Atakan Varol},
      year={2021},
      eprint={2107.14419},
      archivePrefix={arXiv},
      primaryClass={eess.AS},
      url={https://arxiv.org/abs/2107.14419}, 
}
```

### Contact
For any questions or issues related to the dataset or code, please contact [issai@nu.edu.kz](mailto:issai@nu.edu.kz).