24 citations · 102 across the 17 of their papers we have counts for
6 papers · 1 filter
Model-based STFT phase recovery for audio source separation
Paul Magron, Roland Badeau, Bertrand David
For audio source separation applications, it is common to estimate the magnitude of the short-time Fourier transform (STFT) of each source. In order to further synthesizing time-do…
Lévy NMF for robust nonnegative source separation
Paul Magron, Roland Badeau, Antoine Liutkus
Source separation, which consists in decomposing data into meaningful structured components, is an active research topic in many areas, such as music and image signal processing, a…
Phase recovery in NMF for audio source separation: an insightful benchmark
Paul Magron, Roland Badeau, Bertrand David
Nonnegative Matrix Factorization (NMF) is a powerful tool for decomposing mixtures of audio signals in the Time-Frequency (TF) domain. In applications such as source separation, th…
Phase reconstruction of spectrograms based on a model of repeated audio events
Paul Magron, Roland Badeau, Bertrand David
Phase recovery of modified spectrograms is a major issue in audio signal processing applications, such as source separation. This paper introduces a novel technique for estimating…
Phase reconstruction of spectrograms with linear unwrapping: application to audio signal restoration
Paul Magron, Roland Badeau, Bertrand David
This paper introduces a novel technique for reconstructing the phase of modified spectrograms of audio signals. From the analysis of mixtures of sinusoids we obtain relationships b…
Complex NMF under phase constraints based on signal modeling: application to audio source separation
Paul Magron, Roland Badeau, Bertrand David
Nonnegative Matrix Factorization (NMF) is a powerful tool for decomposing mixtures of audio signals in the Time-Frequency (TF) domain. In the source separation framework, the phase…