Automatic detection of laryngeal pathologies in running speech based on the HMM transformation of the nonlinear dynamics

Título:	Automatic detection of laryngeal pathologies in running speech based on the HMM transformation of the nonlinear dynamics
Autores/as:	Travieso, Carlos M. Alonso, Jesús B. Orozco-Arroyave, Juan Rafael Solé-Casals, Jordi Gallego-Jutglà, Esteve
Clasificación UNESCO:	3307 Tecnología electrónica
Palabras clave:	Nonlinear Dynamic parameterization, Speech signal, Pathological voice detection, Hidden Markov Models, Laryngeal Pathologies
Fecha de publicación:	2013
Editor/a:	0302-9743
Publicación seriada:	Lecture Notes in Computer Science
Conferencia:	6th International Conference on Advances in Nonlinear Speech Processing, NOLISP 2013
Resumen:	This book constitutes the proceedings of the 6th International Conference on Nonlinear Speech Processing, NOLISP 2013, held in Mons, Belgium, in June 2013.The 27 refereed papers included in this volume were carefully reviewed and selected from 34 submissions. The paper are organized in topical sections on speech and audio analysis; speech synthesis; speech-based biomedical applications; automatic speech recognition; and speech enhancement.
URI:	http://hdl.handle.net/10553/44006
ISBN:	9783642388460
ISSN:	0302-9743
DOI:	10.1007/978-3-642-38847-7-18
Fuente:	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 7911 LNAI, p. 136-143
Colección:	Actas de congresos

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