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Datasets:
pujanpaudel
/
nepali-speech-to-text

Tasks:
Automatic Speech Recognition
Modalities:
Audio
Formats:
soundfolder
Languages:
Nepali
Size:
1K - 10K
Libraries:
Datasets
License:
Dataset card Viewer Files Community
1
nepali-speech-to-text
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---
license: mit
task_categories:
- automatic-speech-recognition
language:
- ne
---
# Nepali ASR Dataset

## Overview

This dataset is created to support Automatic Speech Recognition (ASR) tasks for the Nepali language. It consists of Nepali speech data collected from various open-source platforms, such as Mozilla OpenVoice Dataset, OpenSLR, and other publicly available resources. The primary goal of this dataset is to enhance ASR model performance for Nepali, a language with limited representation in existing ASR datasets.

## Key Features

- **Language**: Nepali
- **Data Type**: Speech-to-text pairs
- **Format**: Audio files and corresponding transcriptions
- **Sources**: Mozilla OpenVoice Dataset, OpenSLR, and other open platforms
- **Use Case**: Training and evaluation of ASR models for Nepali
- **Average Audio Length**: 15-30 seconds

## Structure

The dataset is organized as follows:

```plaintext
nepali-speech-to-text/
|-- audio/
|   |-- file1.wav
|   |-- file2.wav
|   |-- file3.wav
|-- audio_transcripts.csv
```

- **audio/**: Contains all the speech audio files in `.wav` format.
- **audio\_transcripts.csv**: A CSV file containing the transcriptions for the audio files.

## Licensing and Permissions

The dataset is compiled from publicly available open-source data and follows the respective licenses of its sources. Ensure compliance with each source's licensing terms when using this dataset.

## Usage

This dataset can be used for:

1. Training ASR models for Nepali.
2. Fine-tuning existing speech-to-text models like Whisper.
3. Benchmarking ASR systems for Nepali.

## Contributions

Contributions to enhance the dataset are welcome! You can:

- Add more Nepali speech data.
- Provide better transcriptions.
- Report any issues or errors in the existing dataset.

## Citation

If you use this dataset in your research or projects, please cite it appropriately. Include attribution to the original sources as well.

### Mozilla Common Voice
Website: [https://commonvoice.mozilla.org/en/datasets](https://commonvoice.mozilla.org/en/datasets)

### OpenSLR
```bibtex
@inproceedings{kjartansson-etal-sltu2018,
    title = {{Crowd-Sourced Speech Corpora for Javanese, Sundanese,  Sinhala, Nepali, and Bangladeshi Bengali}},
    author = {Oddur Kjartansson and Supheakmungkol Sarin and Knot Pipatsrisawat and Martin Jansche and Linne Ha},
    booktitle = {Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU)},
    year  = {2018},
    address = {Gurugram, India},
    month = aug,
    pages = {52--55},
    URL   = {http://dx.doi.org/10.21437/SLTU.2018-11}
}
```

## Contact

For questions, suggestions, or contributions, please contact [pujanpaudel9988@gmail.com].

---

**Disclaimer:** While the dataset is compiled with care, it may still contain errors or inconsistencies. Users are encouraged to verify the data before use.