Datasets:
Tasks:
Automatic Speech Recognition
Modalities:
Audio
Formats:
soundfolder
Languages:
Nepali
Size:
1K - 10K
License:
File size: 2,902 Bytes
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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 [[email protected]].
---
**Disclaimer:** While the dataset is compiled with care, it may still contain errors or inconsistencies. Users are encouraged to verify the data before use.
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