MuAViC

https://arxiv.org/abs/2303.00628

A Multilingual Audio-Visual Corpus for Robust Speech Recognition and Robust Speech-to-Text Translation.

Overview

MuAViC provides

• 1200 hours of transcribed audio-visual speech for 9 languages (English, Arabic, German, Greek, Spanish, French, Italian, Portuguese and Russian)
• text translations for 6 English-to-X directions and 6 X-to-English directions (X = Greek, Spanish, French, Italian, Portuguese or Russian)

The raw data is collected from TED/TEDx talk recordings.

Detailed statistics

Audio-Visual Speech Recognition

Language	Code	Train Hours (H+P)	Train Speakers
English	En	436 + 0	4.7K
Arabic	Ar	16 + 0	95
German	De	10 + 0	53
Greek	El	25 + 0	113
Spanish	Es	178 + 0	987
French	Fr	176 + 0	948
Italian	It	101 + 0	487
Portuguese	Pt	153 + 0	810
Russian	Ru	49 + 0	238

Audio-Visual En-X Speech-to-Text Translation

Direction	Code	Train Hours (H+P)	Train Speakers
English-Greek	En-El	17 + 420	4.7K
English-Spanish	En-Es	21 + 416	4.7K
English-French	En-Fr	21 + 416	4.7K
English-Italian	En-It	20 + 417	4.7K
English-Portuguese	En-Pt	18 + 419	4.7K
English-Russian	En-Ru	20 + 417	4.7K

Audio-Visual X-En Speech-to-Text Translation

Direction	Code	Train Hours (H+P)	Train Speakers
Greek-English	El-En	8 + 17	113
Spanish-English	Es-En	64 + 114	987
French-English	Fr-En	45 + 131	948
Italian-English	It-En	48 + 53	487
Portuguese-English	Pt-En	53 + 100	810
Russian-English	Ru-En	8 + 41	238

Getting Data

We provide scripts to generate the audio/video data and AV-HuBERT training manifests for MuAViC.

As the first step, clone this repo for the scripts

git clone https://github.com/facebookresearch/muavic.git

and install required packages:

conda install -c conda-forge ffmpeg==4.2.2
pip install -r requirements.txt

Then get audio-visual speech recognition and translation data via

python get_data.py --root-path ${ROOT} --src-lang ${SRC_LANG}

where the speech language ${SRC_LANG} is one of en, ar, de, el, es, fr, it, pt and ru.

Generated data will be saved to ${ROOT}:

• ${ROOT}/muavic/*.tsv for AV-HuBERT training manifests
• ${ROOT}/muavic/audio for processed audio files
• ${ROOT}/muavic/video for processed video files

License

CC-BY-NC 4.0

Citation

@article{anwar2023muavic,
  title={MuAViC: A Multilingual Audio-Visual Corpus for Robust Speech Recognition and Robust Speech-to-Text Translation},
  author={Anwar, Mohamed and Shi, Bowen and Goswami, Vedanuj and Hsu, Wei-Ning and Pino, Juan and Wang, Changhan},
  journal={arXiv preprint arXiv:2303.00628},
  year={2023}
}