activity
20202022
most citedWeak-Attention Suppression For Transformer Based Speech Recognition

5 citations · 13 across the 13 of their papers we have counts for

collaborators

17 papers

cs.LG20221 cited

LiCo-Net: Linearized Convolution Network for Hardware-efficient Keyword Spotting

Haichuan Yang, Zhaojun Yang, Li Wan +10

This paper proposes a hardware-efficient architecture, Linearized Convolution Network (LiCo-Net) for keyword spotting. It is optimized specifically for low-power processor units li…

cs.CL2022

Biased Self-supervised learning for ASR

Florian L. Kreyssig, Yangyang Shi, Jinxi Guo +3

Self-supervised learning via masked prediction pre-training (MPPT) has shown impressive performance on a range of speech-processing tasks. This paper proposes a method to bias self…

eess.AS20221 cited

SCA: Streaming Cross-attention Alignment for Echo Cancellation

Yang Liu, Yangyang Shi, Yun Li +3

End-to-End deep learning has shown promising results for speech enhancement tasks, such as noise suppression, dereverberation, and speech separation. However, most state-of-the-art…

cs.CL2022

Streaming parallel transducer beam search with fast-slow cascaded encoders

Jay Mahadeokar, Yangyang Shi, Ke Li +5

Streaming ASR with strict latency constraints is required in many speech recognition applications. In order to achieve the required latency, streaming ASR models sacrifice accuracy…

eess.AS20211 cited

Streaming Transformer Transducer Based Speech Recognition Using Non-Causal Convolution

Yangyang Shi, Chunyang Wu, Dilin Wang +9

This paper improves the streaming transformer transducer for speech recognition by using non-causal convolution. Many works apply the causal convolution to improve streaming transf…

cs.SD20211 cited

Transferring Voice Knowledge for Acoustic Event Detection: An Empirical Study

Dawei Liang, Yangyang Shi, Yun Wang +6

Detection of common events and scenes from audio is useful for extracting and understanding human contexts in daily life. Prior studies have shown that leveraging knowledge from a…