Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44006
Title: Automatic detection of laryngeal pathologies in running speech based on the HMM transformation of the nonlinear dynamics
Authors: Travieso, Carlos M. 
Alonso, Jesús B. 
Orozco-Arroyave, Juan Rafael
Solé-Casals, Jordi
Gallego-Jutglà, Esteve
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Nonlinear Dynamic parameterization, Speech signal, Pathological voice detection, Hidden Markov Models, Laryngeal Pathologies
Issue Date: 2013
Publisher: 0302-9743
Journal: Lecture Notes in Computer Science 
Conference: 6th International Conference on Advances in Nonlinear Speech Processing, NOLISP 2013 
Abstract: 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
Source: 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
Appears in Collections:Actas de congresos
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