Audio Source Separation and Speech Enhancement

Edited by Emmanuel Vincent, Tuomas Virtanen, and Sharon Gannot (Wiley, 2018)

Book
Part I: Prerequisites
- 4. Multichannel source activity detection, localization, and tracking
Part II: Single-channel
- 7. Single-channel classification and clustering approaches
- 8. Nonnegative matrix and tensor factorization
Part III: Multichannel
- 13. Independent component and vector analysis
Part IV: Applications and perspectives
- 17. Applications for speech and environmental sounds
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Home Uncategorized 8. Nonnegative matrix and tensor factorization

8. Nonnegative matrix and tensor factorization

tuomasv 2016/02/29 2016/10/12Uncategorized

NMF software

openBliSSART is a C++ library for NMF-based blind source separation
FASST is a toolbox for source separation which includes variants of NMF. There are C++ and MATLAB versions, as well as a third-party Python version
NMF algorithms for supervised separation of known sources

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7. Single-channel classification and clustering approaches

13. Independent component and vector analysis

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