Abstract Spoken Keyword Spotting (KWS) in noisy far-field environments is challenging for
small-footprint models, given the restrictions on computational resources (eg, model size …

While automatic speech recognition (ASR) systems degrade significantly in noisy
environments, audio-visual speech recognition (AVSR) systems aim to complement the …

In recent years, neural network-based Wake Word Spotting achieves good performance on
clean audio samples but struggles in noisy environments. Audio-Visual Wake Word Spotting …

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

The paper describes the Wake Word Lipreading system developed by the WHU team for the
ChatCLR Challenge 2024. Although Lipreading and Wake Word Spotting have seen …

The existing audio-visual wake-up word spotting (AVWWS) methods assume that the audio
signal has been aligned with the lip movement video signal of a specific speaker in noisy …

Wake word spotting mainly focus on audio modality or audio-visual multimodal exploration.
The visual modality delivers stable outcomes under poor acoustic conditions, making visual …