Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors

DOI10.1016/j.sigpro.2007.02.003zbMath1186.94042OpenAlexW1981463705MaRDI QIDQ970919

Shoko Araki, Hiroshi Sawada, Ryo Mukai, Shoji Makino

Publication date: 19 May 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2007.02.003

zbMATH Keywords

clusteringblind source separationnormalizationreverberationsparsenessbinary maskspeech separation

Mathematics Subject Classification ID

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

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The LOST algorithm: Finding lines and separating speech mixtures ⋮ BIOLOGICAL SIGNAL ANALYSIS BY INDEPENDENT COMPONENT ANALYSIS USING COMPLEX WAVELET TRANSFORM ⋮ Underdetermined separation of speech mixture based on sparse Bayesian learning ⋮ Nonnegative mixture for underdetermined blind source separation based on a tensor algorithm ⋮ A novel fuzzy clustering algorithm using observation weighting and context information for reverberant blind speech separation

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