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vivos

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"
    }
}