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eess.AS2023
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…
eess.AS2023
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…
eess.AS2023
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…