16 citations · 29 across the 9 of their papers we have counts for
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cs.SD2020★ 1 cited
Improved MVDR Beamforming Using LSTM Speech Models to Clean Spatial Clustering Masks
Zhaoheng Ni, Felix Grezes, Viet Anh Trinh +1
Spatial clustering techniques can achieve significant multi-channel noise reduction across relatively arbitrary microphone configurations, but have difficulty incorporating a detai…
eess.AS2020
WPD++: An Improved Neural Beamformer for Simultaneous Speech Separation and Dereverberation
Zhaoheng Ni, Yong Xu, Meng Yu +4
This paper aims at eliminating the interfering speakers' speech, additive noise, and reverberation from the noisy multi-talker speech mixture that benefits automatic speech recogni…
cs.SD2020★ 3 cited
Large scale evaluation of importance maps in automatic speech recognition
Viet Anh Trinh, Michael I Mandel
In this paper, we propose a metric that we call the structured saliency benchmark (SSBM) to evaluate importance maps computed for automatic speech recognizers on individual utteran…