Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/44103
Título: Optimal size of time window in nonlinear features for voice quality measurement
Autores/as: Alonso, Jesus B. 
Díaz-de-María, Fernando
Travieso, Carlos M. 
Ferrer, Miguel A. 
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Speech
Fecha de publicación: 2005
Editor/a: 0302-9743
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: International Conference on Non-Linear Speech Processing 
International Conference on Non-Linear Speech Processing, NOLISP 2005 
Resumen: In this paper we propose the use of nonlinear speech features to improve the voice quality measurement. We have tested a couple of features from the Dynamical System Theory, namely: the Correlation Dimension and the largest Lyapunov Exponent. In particular, we have studied the optimal size of time window for this type of analysis in the field of the characterization of the voice quality. Two systems of automatic detection of laryngeal pathologies, one of them including these features, have been implemented with the purpose of validating the usefulness of the suggested nonlinear features. We obtain slight improvements with respect to a classical system.
URI: http://hdl.handle.net/10553/44103
ISBN: *************
3540312579
9783540312574
ISSN: 0302-9743
Fuente: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 3817 LNAI, p. 206-218
Colección:Actas de congresos
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