Accurately recognizing apples in complex environments is essential for automating apple
picking operations, particularly under challenging natural conditions such as cloudy, snowy …

Audio-visual speech recognition (AVSR) aims to transcribe human speech using both audio
and video modalities. In practical environments with noise-corrupted audio, the role of video …

Abstract Advanced Audio-Visual Speech Recognition (AVSR) systems have been observed
to be sensitive to missing video frames performing even worse than single-modality models …

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

As more and more information-rich data like video become available, utilizing multi-modal
auxiliary information to enhance audio tasks has sparked widespread research interest. The …

With the rapid advancement of artificial intelligence and machine learning, speech emotion
recognition (SER) holds significant potential across various applications. Despite progress …

Code-switching automatic speech recognition (ASR) aims to transcribe speech that contains
two or more languages accurately. To better capture language-specific speech …

Visual features offer important cues that can be used in noisy backgrounds. Audio-visual
speech enhancement (AVSE) improves speech quality and intelligibility by combining audio …

Automatic lip-reading (ALR) aims to automatically transcribe spoken content from a
speaker's silent lip motion captured in video. Current mainstream lip-reading approaches …

Electric shock protection is critical for ensuring power safety in low-voltage grids, and robust
fault diagnosis methods provide an essential foundation for the accurate operation of such …