66 citations · 107 across the 6 of their papers we have counts for
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eess.AS2022★ 1 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…
eess.AS2019
Spatial Attention for Far-field Speech Recognition with Deep Beamforming Neural Networks
Weipeng He, Lu Lu, Biqiao Zhang +3
In this paper, we introduce spatial attention for refining the information in multi-direction neural beamformer for far-field automatic speech recognition. Previous approaches of n…
eess.AS2019★ 66 cited
Transformer-Transducer: End-to-End Speech Recognition with Self-Attention
Ching-Feng Yeh, Jay Mahadeokar, Kaustubh Kalgaonkar +6
We explore options to use Transformer networks in neural transducer for end-to-end speech recognition. Transformer networks use self-attention for sequence modeling and comes with…