16 citations · 26 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
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…
Mask-dependent Phase Estimation for Monaural Speaker Separation
Zhaoheng Ni, Michael I Mandel
Speaker separation refers to isolating speech of interest in a multi-talker environment. Most methods apply real-valued Time-Frequency (T-F) masks to the mixture Short-Time Fourier…
Speech denoising by parametric resynthesis
Soumi Maiti, Michael I Mandel
This work proposes the use of clean speech vocoder parameters as the target for a neural network performing speech enhancement. These parameters have been designed for text-to-spee…