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20152024
most citedLibriMix: An Open-Source Dataset for Generalizable Speech Separation

183 citations · 271 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.SD2021

Blind Room Parameter Estimation Using Multiple-Multichannel Speech Recordings

Prerak Srivastava, Antoine Deleforge, Emmanuel Vincent

Knowing the geometrical and acoustical parameters of a room may benefit applications such as audio augmented reality, speech dereverberation or audio forensics. In this paper, we s…

cs.SD2019

Filterbank design for end-to-end speech separation

Manuel Pariente, Samuele Cornell, Antoine Deleforge +1

Single-channel speech separation has recently made great progress thanks to learned filterbanks as used in ConvTasNet. In parallel, parameterized filterbanks have been proposed for…

cs.SD2019

A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders

Manuel Pariente, Antoine Deleforge, Emmanuel Vincent

Recent studies have explored the use of deep generative models of speech spectra based of variational autoencoders (VAEs), combined with unsupervised noise models, to perform speec…

cs.SD20183 cited

Evaluation of an open-source implementation of the SRP-PHAT algorithm within the 2018 LOCATA challenge

Romain Lebarbenchon, Ewen Camberlein, Diego di Carlo +3

This short paper presents an efficient, flexible implementation of the SRP-PHAT multichannel sound source localization method. The method is evaluated on the single-source tasks of…

cs.SD2018

MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval

Helena Peic Tukuljac, Antoine Deleforge, Rémi Gribonval

This paper addresses the general problem of blind echo retrieval, i.e., given M sensors measuring in the discrete-time domain M mixtures of K delayed and attenuated copies of an un…

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…