References:
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:vivos')
- Description:
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.
- License: cc-by-sa-4.0
- Version: 1.1.0
- Splits:
| Split | Examples |
|---|---|
'test' |
760 |
'train' |
11660 |
- Features:
{
"speaker_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"path": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"audio": {
"sampling_rate": 16000,
"mono": true,
"_storage_dtype": "struct",
"id": null,
"_type": "Audio"
},
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}