activity
20142024
most citedMachine learning in acoustics: theory and applications

574 citations · 866 across the 29 of their papers we have counts for

collaborators
Showing 2015Show all

5 papers · 1 filter

cs.SD2015

A Hybrid Approach for Speech Enhancement Using MoG Model and Neural Network Phoneme Classifier

Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot

In this paper we present a single-microphone speech enhancement algorithm. A hybrid approach is proposed merging the generative mixture of Gaussians (MoG) model and the discriminat…

cs.SD2015★ 41 cited

A Variational EM Algorithm for the Separation of Time-Varying Convolutive Audio Mixtures

Dionyssos Kounades-Bastian, Laurent Girin, Xavier Alameda-Pineda +2

This paper addresses the problem of separating audio sources from time-varying convolutive mixtures. We propose a probabilistic framework based on the local complex-Gaussian model…

cs.SD2015★ 60 cited

Estimation of the Direct-Path Relative Transfer Function for Supervised Sound-Source Localization

Xiaofei Li, Laurent Girin, Radu Horaud +1

This paper addresses the problem of binaural localization of a single speech source in noisy and reverberant environments. For a given binaural microphone setup, the binaural respo…

cs.SD2015

Semi-Supervised Sound Source Localization Based on Manifold Regularization

Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot

Conventional speaker localization algorithms, based merely on the received microphone signals, are often sensitive to adverse conditions, such as: high reverberation or low signal…

cs.SD2015

Towards a Generalization of Relative Transfer Functions to More Than One Source

Antoine Deleforge, Sharon Gannot, Walter Kellermann

We propose a natural way to generalize relative transfer functions (RTFs) to more than one source. We first prove that such a generalization is not possible using a single multicha…