Supervised non-negative matrix factorization for audio source separation

DOI10.1007/978-3-319-20188-7_16zbMath1371.94537OpenAlexW2470930142MaRDI QIDQ5358739

Pablo Sprechmann, Guillermo Sapiro, Alex M. Bronstein

Publication date: 21 September 2017

Published in: Excursions in Harmonic Analysis, Volume 4 (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-20188-7_16

zbMATH Keywords

NMFsupervised learningspeech enhancementbilevel optimizationsource separationtask-specific learning

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

• Least angle regression. (With discussion)
• An overview of bilevel optimization
• Algorithms for Nonnegative Matrix Factorization with the β-Divergence
• Supervised and Semi-supervised Separation of Sounds from Single-Channel Mixtures
• Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis
• Learning the parts of objects by non-negative matrix factorization

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