Majorization-Minimization Algorithm for Discriminative Non-Negative Matrix Factorization

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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Bibliographic Details
Main Authors: Li Li, Hirokazu Kameoka, Shoji Makino
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Discriminative non-negative matrix factorization (NMF)
majorization-minimization
single-channel signal processing
speech enhancement
source separation
Online Access:https://ieeexplore.ieee.org/document/9298770/

Internet

https://ieeexplore.ieee.org/document/9298770/

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