doof-ferb/Vietnam-Celeb
unofficial mirror of Vietnam-Celeb dataset official announcement: https://www.isca-archive.org/interspeech_2023/pham23b_interspeech.html https://github.com/Vietnam-Celeb/Vietnam-Celeb https://huggingface.co/datasets/hustep-lab/Vietnam-Celeb official download: Part 0: https://drive.google.com/file/d/1pMuT3DFzSwib7SVcRS8VkDwPuLTsemSG/view?usp=share_link Part 1: https://drive.google.com/file/d/1xayHt2HRqE1aJ4HvtUT40_9XlgvfDfRY/view?usp=share_link Part 2:… See the full description on the dataset page: https://huggingface.co/datasets/doof-ferb/Vietnam-Celeb.
unofficial mirror of Vietnam-Celeb dataset
official announcement:
- https://www.isca-archive.org/interspeech2023/pham23binterspeech.html
- https://github.com/Vietnam-Celeb/Vietnam-Celeb
- https://huggingface.co/datasets/hustep-lab/Vietnam-Celeb
official download:
- Part 0: https://drive.google.com/file/d/1pMuT3DFzSwib7SVcRS8VkDwPuLTsemSG/view?usp=share_link
- Part 1: https://drive.google.com/file/d/1xayHt2HRqE1aJ4HvtUT409XlgvfDfRY/view?usp=sharelink
- Part 2: https://drive.google.com/file/d/1MIlM78EbNJ9cApkNes2BrFrf8XwMc/view?usp=sharelink
- Part 3: https://drive.google.com/file/d/1h6Na58DC03p-502B9QpC5ZFadUwAdNA/view?usp=sharelink
DOI: 10.21437/Interspeech.2023-1989
187h, 87k samples, no transcription
additional data:
- speaker metadata: see speaker-metadata.csv
- easy part of test set: see vietnam-celeb-e.csv
- hard part of test set: see vietnam-celeb-h.csv
easy/hard test is alike to VoxCeleb dataset
pre-process: see my code: https://github.com/phineas-pta/fine-tune-whisper-vi/blob/main/misc/viet-celeb.py
usage with HuggingFace:
# pip install -q "datasets[audio]"
from datasets import load_dataset
from torch.utils.data import DataLoader
dataset = load_dataset("doof-ferb/Vietnam-Celeb", split="train", streaming=True)
dataset.set_format(type="torch", columns=["audio"])
dataloader = DataLoader(dataset, batch_size=4)