Datasets:
File size: 1,161 Bytes
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---
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:
```python
# 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)
``` |