In this paper, we present the updated Audio-Visual Speech Recognition (AVSR) corpus of
MISP2021 challenge, a large-scale audio-visual Chinese conversational corpus consisting …

In recent research, slight performance improvement is observed from automatic speech
recognition systems to audio-visual speech recognition systems in end-to-end frameworks …

Compared to feature or decision fusion, hybrid fusion can beneficially improve audio-visual
speech recognition accuracy. Existing works are mainly prone to design the multi-modality …

Speech recognition is a major communication channel for human-machine interaction with
outstanding breakthroughs. However, the practicality of single-modal speech recognition is …

Speech recognition is widely applied in fields like security, education, and healthcare. While
its development drives global information infrastructure and AI strategies, current models still …

Compared to relying only on audio information, incorporating visual information improves
speech recognition accuracy in noisy environments. Existing works are prone to design …

Robust speech recognition in real world situations is still an important problem, especially
when it is affected by environmental interference factors and conversational multi-speaker …

Traditional audio-visual data processing methods usually use greyscale images and MFCC
processing, but such methods result in the loss of information. In addition, existing works are …