ViSpeR: Multilingual Audio-Visual Speech Recognition
<|reference_start|>ViSpeR: Multilingual Audio-Visual Speech Recognition: This work presents an extensive and detailed study on Audio-Visual Speech Recognition (AVSR) for five widely spoken languages: Chinese, Spanish, English, Arabic, and French. We have collected large-scale datasets for each language except for English, and have engaged in the training of supervised learning models. Our model, ViSpeR, is trained in a multi-lingual setting, resulting in competitive performance on newly established benchmarks for each language. The datasets and models are released to the community with an aim to serve as a foundation for triggering and feeding further research work and exploration on Audio-Visual Speech Recognition, an increasingly important area of research. Code available at \href{https://github.com/YasserdahouML/visper}{https://github.com/YasserdahouML/visper}.<|reference_end|>
@article{narayan2024visper:,
    title={ViSpeR: Multilingual Audio-Visual Speech Recognition},
    author={Sanath Narayan, Yasser Abdelaziz Dahou Djilali, Ankit Singh, Eustache
  Le Bihan, Hakim Hacid},
    journal={arXiv preprint arXiv:2406.00038},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.00038},
    primaryClass={cs.CL cs.AI}
}