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Performance measurement in blind audio source separation
In this paper, we discuss the evaluation of blind audio source separation (BASS) algorithms. Depending on the exact application, different distortions can be allowed between an estimated source andExpand
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Wavelets on Graphs via Spectral Graph Theory
We propose a novel method for constructing wavelet transforms of functions defined on the vertices of an arbitrary finite weighted graph. Our approach is based on defining scaling using the graphExpand
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Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model
This paper addresses the modeling of reverberant recording environments in the context of under-determined convolutive blind source separation. We model the contribution of each source to all mixtureExpand
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Sparse representations in unions of bases
The purpose of this correspondence is to generalize a result by Donoho and Huo and Elad and Bruckstein on sparse representations of signals in a union of two orthonormal bases for R/sup N/. WeExpand
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The Cosparse Analysis Model and Algorithms
Abstract After a decade of extensive study of the sparse representation synthesis model, we can safely say that this is a mature and stable field, with clear theoretical foundations, and appealingExpand
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BSS_EVAL Toolbox User Guide -- Revision 2.0
This document is meant to help you use the BSS EVAL toolbox, which implements some criteria for performance measurement in (blind) source separation. The toolbox -- which is distributed under theExpand
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A survey of Sparse Component Analysis for blind source separation: principles, perspectives, and new challenges
In this survey, we highlight the appealing features and challenges of Sparse Component Analysis (SCA) for blind source separation (BSS). SCA is a simple yet powerful framework to separate severalExpand
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Mptk: Matching Pursuit Made Tractable
Matching Pursuit (MP) aims at finding sparse decompositions of signals over redundant bases of elementary waveforms. Traditionally, MP has been considered too slow an algorithm to be applied toExpand
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Harmonic decomposition of audio signals with matching pursuit
We introduce a dictionary of elementary waveforms, called harmonic atoms, that extends the Gabor dictionary and fits well the natural harmonic structures of audio signals. By modifying the "standard"Expand
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Audio Inpainting
We propose the audio inpainting framework that recovers portions of audio data distorted due to impairments such as impulsive noise, clipping, and packet loss. In this framework, the distorted dataExpand
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