Speech enhancement and speech separation are two related tasks, whose purpose is to
extract either one or more target speech signals, respectively, from a mixture of sounds …

Speech separation algorithms are often used to separate the target speech from other
interfering sources. However, purely neural network based speech separation systems often …

Accurate recognition of cocktail party speech containing overlap** speakers, noise and
reverberation remains a highly challenging task to date. Motivated by the invariance of …

We present AdVerb, a novel audio-visual dereverberation framework that uses visual cues
in addition to the reverberant sound to estimate clean audio. Although audio-only …

Although the conventional mask-based minimum variance distortionless response (MVDR)
could reduce the non-linear distortion, the residual noise level of the MVDR separated …

The objective of this work is to extract the target speaker's voice from a mixture of voices
using visual cues. Existing works on audio-visual speech separation have demonstrated …

Reverberation not only degrades the quality of speech for human perception, but also
severely impacts the accuracy of automatic speech recognition. Prior work attempts to …