4 citations · 6 across the 8 of their papers we have counts for
6 papers · 1 filter
U2-KWS: Unified Two-pass Open-vocabulary Keyword Spotting with Keyword Bias
Ao Zhang, Pan Zhou, Kaixun Huang +3
Open-vocabulary keyword spotting (KWS), which allows users to customize keywords, has attracted increasingly more interest. However, existing methods based on acoustic models and p…
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…
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…
VE-KWS: Visual Modality Enhanced End-to-End Keyword Spotting
Ao Zhang, He Wang, Pengcheng Guo +5
The performance of the keyword spotting (KWS) system based on audio modality, commonly measured in false alarms and false rejects, degrades significantly under the far field and no…
The NPU-ASLP System for Audio-Visual Speech Recognition in MISP 2022 Challenge
Pengcheng Guo, He Wang, Bingshen Mu +2
This paper describes our NPU-ASLP system for the Audio-Visual Diarization and Recognition (AVDR) task in the Multi-modal Information based Speech Processing (MISP) 2022 Challenge.…