A joint time-frequency and matrix decomposition feature extraction methodology for pathological voice classification

DOI10.1155/2009/928974zbMath1184.68439DBLPjournals/ejasp/GhoraaniK09OpenAlexW2148681587WikidataQ59220184 ScholiaQ59220184MaRDI QIDQ965424

Sridhar Krishnan, Behnaz Ghoraani

Publication date: 24 April 2010

Published in: EURASIP Journal on Advances in Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2009/928974

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Cites Work

• Algorithms and applications for approximate nonnegative matrix factorization
• Matching pursuits with time-frequency dictionaries
• Projected Gradient Methods for Nonnegative Matrix Factorization

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