Quantitative Analysis of Audio-Visual Tasks: An Information-Theoretic Perspective

• URL: http://arxiv.org/abs/2409.19575v1
• Date: Sun, 29 Sep 2024 06:30:46 GMT
• Title: Quantitative Analysis of Audio-Visual Tasks: An Information-Theoretic Perspective
• Authors: Chen Chen, Xiaolou Li, Zehua Liu, Lantian Li, Dong Wang,
• Abstract summary: 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.
• Score: 12.178918299455898
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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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