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Exploiting nonlinearity of the speech production system for voice disorder assessment by recurrence quantification analysis

Vieira, Vinícius J. D. ; Costa, Silvana C. ; Correia, Suzete L. N. ; Lopes, Leonardo W. ; Costa, Washington C. de A. ; de Assis, Francisco M.

Chaos (Woodbury, N.Y.), 2018-08, Vol.28 (8), p.085709-085709 [Periódico revisado por pares]

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Título:
Exploiting nonlinearity of the speech production system for voice disorder assessment by recurrence quantification analysis
Autor: Vieira, Vinícius J. D. ; Costa, Silvana C. ; Correia, Suzete L. N. ; Lopes, Leonardo W. ; Costa, Washington C. de A. ; de Assis, Francisco M.
Assuntos: Communication Aids for Disabled ; Databases, Factual ; Humans ; Models, Biological ; Nonlinearity ; Signal processing ; Speech ; Speech disorders ; Vocal Cords - physiopathology ; Voice ; Voice Disorders - physiopathology
É parte de: Chaos (Woodbury, N.Y.), 2018-08, Vol.28 (8), p.085709-085709
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Descrição: This work summarizes the research related to digital speech signal processing with recurrence quantification analysis (RQA) applied to voice disorder assessment. The main motivation for these studies is the fact that RQA is able to exploit the nonlinear dynamical nature of the speech production system. Due to the use of recurrence quantification measures to represent the behavior of speech signals, promising results were obtained in the characterization and classification of laryngeal pathologies and voice disorders. These contributions may help one to evaluate the usability and efficiency of RQA in vocal disorder assessment.
Editor: United States: American Institute of Physics
Idioma: Inglês

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