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Quantitative Analysis of Audio-Visual Tasks: An Information-Theoretic Perspective
Chen Chen, Xiaolou Li, Zehua Liu, Lantian Li, Dong Wang · 2024-09-29 · via cs.CL updates on arXiv.org

In the field of spoken language processing, audio-visual speech processing is receiving increasing research attention. Key components of this research include tasks such as lip reading, audio-visual speech recognition, and visual-to-speech synthesis. Although significant success has been achieved, theoretical analysis is still insufficient for audio-visual tasks. This paper presents a quantitative analysis based on information theory, focusing on information intersection between different modalities. Our results show that this analysis is valuable for understanding the difficulties of audio-visual processing tasks as well as the benefits that could be obtained by modality integration.

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