  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}.
