592 citations · 2.3k across the 24 of their papers we have counts for
12 papers · 1 filter
The impact of removing head movements on audio-visual speech enhancement
Zhiqi Kang, Mostafa Sadeghi, Radu Horaud +3
This paper investigates the impact of head movements on audio-visual speech enhancement (AVSE). Although being a common conversational feature, head movements have been ignored by…
Reverberant Sound Localization with a Robot Head Based on Direct-Path Relative Transfer Function
Xiaofei Li, Laurent Girin, Fabien Badeig +1
This paper addresses the problem of sound-source localization (SSL) with a robot head, which remains a challenge in real-world environments. In particular we are interested in loca…
Narrow-band Deep Filtering for Multichannel Speech Enhancement
Xiaofei LI, Radu Horaud
In this paper, we address the problem of multichannel speech enhancement in the short-time Fourier transform (STFT) domain. A long short-time memory (LSTM) network takes as input a…
Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders
Mostafa Sadeghi, Simon Leglaive, Xavier Alameda-PIneda +2
Variational auto-encoders (VAEs) are deep generative latent variable models that can be used for learning the distribution of complex data. VAEs have been successfully used to lear…
Expectation-Maximization for Speech Source Separation Using Convolutive Transfer Function
Xiaofei Li, Laurent Girin, Radu Horaud
This paper addresses the problem of under-determinded speech source separation from multichannel microphone singals, i.e. the convolutive mixtures of multiple sources. The time-dom…
Speech enhancement with variational autoencoders and alpha-stable distributions
Simon Leglaive, Umut Simsekli, Antoine Liutkus +2
This paper focuses on single-channel semi-supervised speech enhancement. We learn a speaker-independent deep generative speech model using the framework of variational autoencoders…