Datasets:
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---
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
- name: utt_type
dtype: string
splits:
- name: train
num_bytes: 215847527002
num_examples: 220963
download_size: 69218972580
dataset_size: 215847527002
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
language:
- vi
tags:
- speaker-verification
- speaker-recognition
- spoofing-aware-speaker-verification
- vietnamese
pretty_name: VSASV Dataset
size_categories:
- 100K<n<1M
---
This paper introduces the VSASV dataset for Spoofing-Aware Speaker Verification (SASV) in Vietnamese language. A part of this dataset was used to host the Spoofing-aware Speaker Verification Challenge in [VLSP 2023](https://vlsp.org.vn/vlsp2023/eval/vsasv).
Due to some fault in data storage, we are sorry that the published data is not as complete as described in the paper. However, we are working on an extended version of the dataset with Vietnamese TTS audios included within 2025. Stay tuned!
The paper has been accepted at [INTERSPEECH 2024](https://www.isca-archive.org/interspeech_2024/hoang24b_interspeech.html). Please cite as:
```
@inproceedings{hoang24b_interspeech,
title = {VSASV: a Vietnamese Dataset for Spoofing-Aware Speaker Verification},
author = {Vu Hoang and Viet Thanh Pham and Hoa Nguyen Xuan and Pham Nhi and Phuong Dat and Thi Thu Trang Nguyen},
year = {2024},
booktitle = {Interspeech 2024},
pages = {4288--4292},
doi = {10.21437/Interspeech.2024-1972},
issn = {2958-1796},
}
``` |