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Audio Source Separation

Overview of attention for book
Cover of 'Audio Source Separation'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Single-Channel Audio Source Separation with NMF: Divergences, Constraints and Algorithms
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    Chapter 2 Separation of Known Sources Using Non-negative Spectrogram Factorisation
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    Chapter 3 Dynamic Non-negative Models for Audio Source Separation
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    Chapter 4 An Introduction to Multichannel NMF for Audio Source Separation
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    Chapter 5 General Formulation of Multichannel Extensions of NMF Variants
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    Chapter 6 Determined Blind Source Separation with Independent Low-Rank Matrix Analysis
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    Chapter 7 Deep Neural Network Based Multichannel Audio Source Separation
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    Chapter 8 Efficient Source Separation Using Bitwise Neural Networks
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    Chapter 9 DNN Based Mask Estimation for Supervised Speech Separation
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    Chapter 10 Informed Spatial Filtering Based on Constrained Independent Component Analysis
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    Chapter 11 Recent Advances in Multichannel Source Separation and Denoising Based on Source Sparseness
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    Chapter 12 Multimicrophone MMSE-Based Speech Source Separation
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    Chapter 13 Musical-Noise-Free Blind Speech Extraction Based on Higher-Order Statistics Analysis
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    Chapter 14 Audio-Visual Source Separation with Alternating Diffusion Maps
Attention for Chapter 1: Single-Channel Audio Source Separation with NMF: Divergences, Constraints and Algorithms
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Citations

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Summary Dimensions citations
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Chapter title
Single-Channel Audio Source Separation with NMF: Divergences, Constraints and Algorithms
Chapter number 1
Book title
Audio Source Separation
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-73031-8_1
Book ISBNs
978-3-31-973030-1, 978-3-31-973031-8
Authors

Cédric Févotte, Emmanuel Vincent, Alexey Ozerov

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 25%
Student > Master 8 22%
Researcher 5 14%
Other 3 8%
Student > Bachelor 2 6%
Other 1 3%
Unknown 8 22%
Readers by discipline Count As %
Engineering 14 39%
Computer Science 9 25%
Mathematics 2 6%
Arts and Humanities 1 3%
Unspecified 1 3%
Other 0 0%
Unknown 9 25%

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