16 citations · 29 across the 9 of their papers we have counts for
10 papers
Estimating Mean Viral Load Trajectory from Intermittent Longitudinal Data and Unknown Time Origins
Yonatan Woodbridge, Micha Mandel, Yair Goldberg +1
Viral load (VL) in the respiratory tract is the leading proxy for assessing infectiousness potential. Understanding the dynamics of disease-related VL within the host is very impor…
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…
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…
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…
Speaker independence of neural vocoders and their effect on parametric resynthesis speech enhancement
Soumi Maiti, Michael I Mandel
Traditional speech enhancement systems produce speech with compromised quality. Here we propose to use the high quality speech generation capability of neural vocoders for better q…
Onssen: an open-source speech separation and enhancement library
Zhaoheng Ni, Michael I Mandel
Speech separation is an essential task for multi-talker speech recognition. Recently many deep learning approaches are proposed and have been constantly refreshing the state-of-the…