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cs.SD2023★ 1 cited
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…
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…
cs.SD2023
Two Stage Contextual Word Filtering for Context bias in Unified Streaming and Non-streaming Transducer
Zhanheng Yang, Sining Sun, Xiong Wang +3
It is difficult for an E2E ASR system to recognize words such as entities appearing infrequently in the training data. A widely used method to mitigate this issue is feeding contex…