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Performance measurement in blind audio source separation
TLDR
In this paper, we discuss the evaluation of blind audio source separation (BASS) algorithms. Expand
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  • 398
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Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis
TLDR
This letter presents theoretical, algorithmic, and experimental results about nonnegative matrix factorization (NMF) with the Itakura-Saito (IS) divergence. Expand
  • 1,038
  • 132
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Algorithms for Nonnegative Matrix Factorization with the β-Divergence
TLDR
This letter describes algorithms for nonnegative matrix factorization (NMF) with the β-divergence (β-NMF). Expand
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Multichannel Nonnegative Matrix Factorization in Convolutive Mixtures for Audio Source Separation
  • A. Ozerov, C. Févotte
  • Mathematics, Computer Science
  • IEEE Transactions on Audio, Speech, and Language…
  • 1 March 2010
TLDR
We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly underdetermined convolutive mixture of source signals. Expand
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BSS_EVAL Toolbox User Guide -- Revision 2.0
TLDR
This document is meant to help you use the BSS EVAL toolbox, which implements some criteria for performance measurement in (blind) source separation in an evaluation framework where the original sources, and perhaps even the noise that perturbed the mixture, are available for comparison. Expand
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Source/Filter Model for Unsupervised Main Melody Extraction From Polyphonic Audio Signals
TLDR
In this paper, we propose a new approach for the estimation and extraction of the main melody (and in particular the leading vocal part) from polyphonic audio signals. Expand
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Nonlinear Hyperspectral Unmixing With Robust Nonnegative Matrix Factorization
TLDR
We introduce a robust mixing model to describe hyperspectral data resulting from the mixture of several pure spectral signatures. Expand
  • 130
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Algorithms for nonnegative matrix factorization with the beta-divergence
TLDR
This paper describes algorithms for nonnegative matrix factorization (NMF) with the beta-divergence (beta-NMF). Expand
  • 133
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  • PDF
Nonnegative matrix factorizations as probabilistic inference in composite models
  • C. Févotte, A. Cemgil
  • Mathematics, Computer Science
  • 17th European Signal Processing Conference
  • 24 August 2009
TLDR
We develop an interpretation of nonnegative matrix factorization (NMF) methods based on Euclidean distance, Kullback-Leibler and Itakura-Saito divergences in a probabilistic framework. Expand
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Proposals for Performance Measurement in Source Separation
In this paper, we address a few issues related to the evaluation of the performance of source separation algorithms. We propose several measures of distortion that take into account the gainExpand
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