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Xuandi Fu

2 accepted papers

2023

Robust Acoustic And Semantic Contextual Biasing In Neural Transducers For Speech Recognition

ICASSP 2023accepted

Attention-based contextual biasing approaches have shown significant improvements in the recognition of generic and/or personal rare-words in End-to-End Automatic Speech Recognition (E2E ASR) systems like neural transducers. These approaches employ crossattention to bias the model towards specific c…

Cited by 24SourceScholar
2022

Multi-Task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding

ICASSP 2022accepted

End-to-end Spoken Language Understanding (E2E SLU) has attracted increasing interest due to its advantages of joint optimization and low latency when compared to traditionally cascaded pipelines. Existing E2E SLU models usually follow a two-stage configuration where an Automatic Speech Recognition (…

Cited by 0SourceScholar