Datasets:
pretty_name: VIVOS
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
- expert-generated
languages:
- vi
licenses:
- cc-by-sa-4-0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- speech-processing
task_ids:
- automatic-speech-recognition
Dataset Card for VIVOS
Table of Contents
- Dataset Card for VIVOS
Dataset Description
- Homepage: https://ailab.hcmus.edu.vn/vivos
- Repository: [Needs More Information]
- Paper: A non-expert Kaldi recipe for Vietnamese Speech Recognition System
- Leaderboard: [Needs More Information]
- Point of Contact: AILAB
Dataset Summary
VIVOS is a free Vietnamese speech corpus consisting of 15 hours of recording speech prepared for Vietnamese Automatic Speech Recognition task.
The corpus was prepared by AILAB, a computer science lab of VNUHCM - University of Science, with Prof. Vu Hai Quan is the head of.
We publish this corpus in hope to attract more scientists to solve Vietnamese speech recognition problems.
Supported Tasks and Leaderboards
[Needs More Information]
Languages
Vietnamese
Dataset Structure
Data Instances
A typical data point comprises the path to the audio file, called path and its transcription, called sentence. Some additional information about the speaker and the passage which contains the transcription is provided.
{'speaker_id': 'VIVOSSPK01',
'path': '/home/admin/.cache/huggingface/datasets/downloads/extracted/b7ded9969e09942ab65313e691e6fc2e12066192ee8527e21d634aca128afbe2/vivos/train/waves/VIVOSSPK01/VIVOSSPK01_R001.wav',
'sentence': 'KHÁCH SẠN'}
Data Fields
- speaker_id: An id for which speaker (voice) made the recording
- path: The path to the audio file
- sentence: The sentence the user was prompted to speak
Data Splits
The speech material has been subdivided into portions for train and test.
Speech was recorded in a quiet environment with high quality microphone, speakers were asked to read one sentence at a time.
| Train | Test | |
|---|---|---|
| Speakers | 46 | 19 |
| Utterances | 11660 | 760 |
| Duration | 14:55 | 00:45 |
| Unique Syllables | 4617 | 1692 |
Dataset Creation
Curation Rationale
[Needs More Information]
Source Data
Initial Data Collection and Normalization
[Needs More Information]
Who are the source language producers?
[Needs More Information]
Annotations
Annotation process
[Needs More Information]
Who are the annotators?
[Needs More Information]
Personal and Sensitive Information
The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in the Common Voice dataset.
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
The dataset was initially prepared by AILAB, a computer science lab of VNUHCM - University of Science.
Licensing Information
Creative Commons Attribution NonCommercial ShareAlike v4.0 (CC BY-NC-SA 4.0)
Citation Information
@InProceedings{vivos:2016,
Address = {Ho Chi Minh, Vietnam}
title = {VIVOS: 15 hours of recording speech prepared for Vietnamese Automatic Speech Recognition},
author={Prof. Vu Hai Quan},
year={2016}
}
Contributions
Thanks to @binh234 for adding this dataset.