Datasets:
metadata
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: train
path: transcript/hi/train.tsv
- split: test
path: transcript/hi/test.tsv
- split: other
path: transcript/hi/other.tsv
- split: dev
path: transcript/hi/dev.tsv
license: cc0-1.0
pretty_name: Custom Common Voice
source_datasets:
- common_voice_v11
language:
- hi
tags:
- XLSR
Custom Data Augmentation for low resource ASR using Bark and Retrieval-Based Voice Conversion
Custom common_voice_v11 corpus with a custom voice was was created using RVC(Retrieval-Based Voice Conversion)
The model underwent 200 epochs of training, utilizing a total of 1 hour of audio clips. The data was scraped from Youtube. The audio in the custom generated dataset is of a YouTuber named Ajay Pandey
Description
license: cc0-1.0 language: - hi pretty_name: Custom Common Voice size_categories: - 10K<n<100K viewer: true source_datasets: - common_voice_v11
Licensing Information
Public Domain, CC-0
Citation Information
@inproceedings{commonvoice:2020,
author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
title = {Common Voice: A Massively-Multilingual Speech Corpus},
booktitle = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)},
pages = {4211--4215},
year = 2020
}