An improved method for voice pathology detection by means of a HMM-based feature space transformation

DOI10.1016/j.patcog.2010.03.019zbMath1207.68260OpenAlexW2092514808WikidataQ62040382 ScholiaQ62040382MaRDI QIDQ1957869

Julián D. Arias-Londoño, Víctor Osma-Ruiz, Nicolás Sáenz-Lechón, Juan-Ignacio Godino-Llorente, German Castellanos-Dominguez

Publication date: 27 September 2010

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.03.019

zbMATH Keywords

hidden Markov modelsminimum classification errordynamic feature space transformationpathological voice

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

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Cites Work

• Feature extraction and dimensionality reduction algorithms and their applications in vowel recognition.
• Inference in hidden Markov models.
• Discriminative feature weighting for HMM-based continuous speech recognizers

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