4 papers
Robust Wake Word Spotting With Frame-Level Cross-Modal Attention Based Audio-Visual Conformer
Haoxu Wang, Ming Cheng, Qiang Fu +1
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 (AVWW…
LCB-net: Long-Context Biasing for Audio-Visual Speech Recognition
Fan Yu, Haoxu Wang, Xian Shi +1
The growing prevalence of online conferences and courses presents a new challenge in improving automatic speech recognition (ASR) with enriched textual information from video slide…
The DKU Post-Challenge Audio-Visual Wake Word Spotting System for the 2021 MISP Challenge: Deep Analysis
Haoxu Wang, Ming Cheng, Qiang Fu +1
This paper further explores our previous wake word spotting system ranked 2-nd in Track 1 of the MISP Challenge 2021. First, we investigate a robust unimodal approach based on 3D a…
Generating Adversarial Samples For Training Wake-up Word Detection Systems Against Confusing Words
Haoxu Wang, Yan Jia, Zeqing Zhao +3
Wake-up word detection models are widely used in real life, but suffer from severe performance degradation when encountering adversarial samples. In this paper we discuss the conce…