CATNet: Cross-modal fusion for audio-visual speech recognition

• Main Authors: WANG, Xingmei, MI, Jianchen, LI, Boquan, ZHAO, Yixu, MENG, Jiaxiang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Attention mechanism; Audio-visual speech recognition; Cross-modal fusion; Deep learning; Graphics and Human Computer Interfaces; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/8645; https://ink.library.smu.edu.sg/context/sis_research/article/9648/viewcontent/CatNet_av.pdf
• Institution: Singapore Management University

Automatic speech recognition (ASR) is a typical pattern recognition technology that converts human speeches into texts. With the aid of advanced deep learning models, the performance of speech recognition is significantly improved. Especially, the emerging Audio–Visual Speech Recognition (AVSR) meth...