3 citations · 6 across the 13 of their papers we have counts for
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cs.CL2024
Lightweight Transducer Based on Frame-Level Criterion
Genshun Wan, Mengzhi Wang, Tingzhi Mao +2
The transducer model trained based on sequence-level criterion requires a lot of memory due to the generation of the large probability matrix. We proposed a lightweight transducer…
cs.CL2024
Deep CLAS: Deep Contextual Listen, Attend and Spell
Mengzhi Wang, Shifu Xiong, Genshun Wan +3
Contextual-LAS (CLAS) has been shown effective in improving Automatic Speech Recognition (ASR) of rare words. It relies on phrase-level contextual modeling and attention-based rele…
cs.CL2023★ 3 cited
Reducing the gap between streaming and non-streaming Transducer-based ASR by adaptive two-stage knowledge distillation
Haitao Tang, Yu Fu, Lei Sun +8
Transducer is one of the mainstream frameworks for streaming speech recognition. There is a performance gap between the streaming and non-streaming transducer models due to limited…