1 citations · 2 across the 8 of their papers we have counts for
4 papers · 1 filter
Spike-Triggered Contextual Biasing for End-to-End Mandarin Speech Recognition
Kaixun Huang, Ao Zhang, Binbin Zhang +3
The attention-based deep contextual biasing method has been demonstrated to effectively improve the recognition performance of end-to-end automatic speech recognition (ASR) systems…
MAVD: The First Open Large-Scale Mandarin Audio-Visual Dataset with Depth Information
Jianrong Wang, Yuchen Huo, Li Liu +3
Audio-visual speech recognition (AVSR) gains increasing attention from researchers as an important part of human-computer interaction. However, the existing available Mandarin audi…
Adaptive Contextual Biasing for Transducer Based Streaming Speech Recognition
Tianyi Xu, Zhanheng Yang, Kaixun Huang +6
By incorporating additional contextual information, deep biasing methods have emerged as a promising solution for speech recognition of personalized words. However, for real-world…
Contextualized End-to-End Speech Recognition with Contextual Phrase Prediction Network
Kaixun Huang, Ao Zhang, Zhanheng Yang +4
Contextual information plays a crucial role in speech recognition technologies and incorporating it into the end-to-end speech recognition models has drawn immense interest recentl…