metadata
license: cc-by-4.0
dataset_info:
features:
- name: file
dtype: string
- name: audio
struct:
- name: array
sequence: float64
- name: sampling_rate
dtype: int64
- name: label
dtype: string
splits:
- name: train
num_bytes: 81702927880
num_examples: 83004
- name: test
num_bytes: 4641164160
num_examples: 4136
download_size: 21519832848
dataset_size: 86344092040
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
This paper introduces the first public dataset for Speaker recognition in the Vietnamese language. The paper has been accepted to Interspeech 2023: paper.
The official GitHub page: https://github.com/thanhpv2102/Vietnam-Celeb.Interspeech
The test lists can be downloaded here.
Please cite as:
@inproceedings{pham23b_interspeech,
title = {Vietnam-Celeb: a large-scale dataset for Vietnamese speaker recognition},
author = {Viet Thanh Pham and Xuan Thai Hoa Nguyen and Vu Hoang and Thi Thu Trang Nguyen},
year = {2023},
booktitle = {Interspeech 2023},
pages = {1918--1922},
doi = {10.21437/Interspeech.2023-1989},
issn = {2958-1796},
}