Back-and-Forth Methodology for Objective Voice Quality Assessment: From/to Expert Knowledge to/from Automatic Classification of Dysphonia

Back-and-Forth Methodology for Objective Voice Quality Assessment: From/to Expert Knowledge to/from Automatic Classification of Dysphonia

This paper addresses voice disorder assessment. It proposes an original back-and-forth methodology involving an automatic classification system as well as knowledge of the human experts (machine learning experts, phoneticians, and pathologists). The goal of this methodology is to bring a better unde...

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Bibliographic Details
Main Authors: Corinne Fredouille, Gilles Pouchoulin, Alain Ghio, Joana Revis, Jean-François Bonastre, Antoine Giovanni
Format: Article
Language:English
Published: SpringerOpen 2009-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2009/982102

Internet

http://dx.doi.org/10.1155/2009/982102

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