In this paper, an audio-visual model for separating a speech of the target speaker from a
combination of other speakers' speeches is proposed. It can be used in speech separation …

In this paper, we exploit the non-linear relation between a speech source and its associated
lip video as a source of extra information to propose an improved audio-visual speech …

Speech separation is the task of extracting target speech while suppressing background
interference components. In applications like video telephones, visual information about the …

Incorporating visual information is a promising approach to improve the performance of
speech separation. Many related works have been conducted and provide inspiring results …

In this paper, we formulate a blind source separation (BSS) framework, which allows
integrating U-Net based deep learning source separation network with probabilistic spatial …

Speech separation is the task of extracting target speech from noisy mixture. In applications
like video telephones or video conferencing, lip movements of the target speaker are …

The most important way several people communicate is through speech. Speech is used to
convey other information such as speaker communication, emotion, and attitude. Therefore …

Speech separation is the front-end of speech processing applications. Its purpose is to
separate the speech in a multi-speaker environment. The neural network methods show …

Communication using speech is often an audio-visual experience. Listeners hear what is
being uttered by speakers and also see the corresponding facial movements and other …

The purpose of this research is to develop a model that is able to perform real-time speaker
independent multi-talker speech separation task in time-domain using Time-Domain Audio …