60 citations · 109 across the 6 of their papers we have counts for
7 papers
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…
Robust Downbeat Tracking Using an Ensemble of Convolutional Networks
S. Durand, J. P. Bello, B. David +1
In this paper, we present a novel state of the art system for automatic downbeat tracking from music signals. The audio signal is first segmented in frames which are synchronized 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…