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Detection of different voice diseases based on the nonlinear characterization of speech signals

  • Published:2017-10 Issue: Volume:82 Page:184-195
  • ISSN:0957-4174
  • Container-title:Expert Systems with Applications
  • language:en
  • Short-container-title:Expert Systems with Applications

Author:

Travieso Carlos M.,Alonso Jesús B.,Orozco-Arroyave J.R.,Vargas-Bonilla J.F.,Nöth E.,Ravelo-García Antonio G.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference64 articles.

1. Analysis of observed chaotic data;Abarbanel,2012

2. Automatic detection of pathologies in the voice by HOS based parameters;Alonso;EURASIP Journal on Applied Signal Processing,2001

3. Automatic detection of pathological voices using complexity measures, noise parameters, and mel-cepstral coefficients;Arias-Londoño;IEEE Transactions on Biomedical Engineering,2011

4. An improved method for voice pathology detection by means of a HMM-based feature space transformation;Arias-Londoño;Pattern Recognition,2010

5. Acoustic analysis of pathological voices. A voice analysis system for the screening of laryngeal diseases;Boyanov;IEEE Engineering in Medicine and Biology Magazine,1997

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