metadata

license: cc-by-4.0
task_categories:
  - automatic-speech-recognition
  - text-to-speech
language:
  - vi
pretty_name: VAIS-1000
size_categories:
  - n<1K
dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: transcription
      dtype: string
  splits:
    - name: train
      num_bytes: 187348211
      num_examples: 1000
  download_size: 169120503
  dataset_size: 187348211
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

unofficial mirror of VAIS-1000

official announcement: https://vais.vn/vi/tai-ve/hts_for_vietnamese (dead)

mirror: https://github.com/undertheseanlp/text_to_speech/tree/run/data/vais1000/raw

small only 1h40min audio - 1 speaker (female northern accent) - 1k samples

pre-process: none

need to do: check misspelling, restore foreign words phonetised to vietnamese

usage with HuggingFace:

# pip install -q "datasets[audio]"
from datasets import load_dataset
from torch.utils.data import DataLoader

dataset = load_dataset("doof-ferb/vais1000", split="train")
dataset.set_format(type="torch", columns=["audio", "transcription"])
dataloader = DataLoader(dataset, batch_size=4)