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End-to-End Audiovisual Speech Recognition System With Multitask Learning by rhishnouvufmjotxoe is a document available to read on EtoBox.

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This article presents a novel end-to-end audiovisual speech recognition (AV-ASR) system that employs multitask learning (MTL) to enhance performance in noisy environments by integrating visual cues from lip activity. The system combines AV-ASR with audiovisual voice activity detection (AV-VAD) to improve robustness and accuracy, leveraging a connectionist temporal classification (CTC) loss function for better alignment and feature extraction. Experimental results demonstrate significant performance improvem

Author

rhishnouvufmjotxoe

Language

EN