Majorization-Minimization Algorithm for Discriminative Non-Negative Matrix Factorization

This paper proposes a basis training algorithm for discriminative non-negative matrix factorization (NMF) with applications to single-channel audio source separation. With an NMF-based approach to supervised audio source separation, NMF is first applied to train the basis spectra of each source usin...

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Veröffentlicht in:	IEEE access Jg. 8; S. 227399 - 227408
Hauptverfasser:	Li, Li, Kameoka, Hirokazu, Makino, Shoji
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Convergence Discriminative non-negative matrix factorization (NMF) Factorization Linear programming majorization-minimization Optimization Separation Signal processing algorithms single-channel signal processing Source separation Spectra Spectrogram speech enhancement Testing time Training Wiener filtering
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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