metadata
dataset_info:
features:
- name: speaker_id
dtype: string
- name: file_id
dtype: string
- name: audio
dtype: audio
- name: label
dtype: string
splits:
- name: train
num_bytes: 752441988.29
num_examples: 6261
download_size: 718959653
dataset_size: 752441988.29
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
pretty_name: NepDS, ILPRL, Kathmandu University
Nep_DS Dataset
The Nep_DS dataset is a collection of Nepali speech data, including 6,262 audio recording files in WAV format downsampled to 16KHz and a corresponding TSV file, "Txt_Ref.tsv," containing audio file names (i.e., ID) and their transcriptions (text).
Contents
- wavs/: Folder with downsampled audio files in WAV format (16KHz).
- Txt_Ref.tsv: TSV file mapping audio file names to their transcriptions.
Usage
The dataset is suitable for various speech-related tasks, such as:
- Speech recognition
- Speaker identification
- Language modeling
- Speech synthesis
- Acoustic analysis
Citation
If you use the Nep_DS dataset, please cite it accordingly:
@dataset{Nep_DS,
author = {Shishir Paudel and Bal Krishna Bal},
title = {Nep_DS Dataset},
year = {2022},
url = {https://ilprl.ku.edu.np/}
}