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Critical Reviews™ in Biomedical Engineering

Published 6 issues per year

ISSN Print: 0278-940X

ISSN Online: 1943-619X

SJR: 0.262 SNIP: 0.372 CiteScore™:: 2.2 H-Index: 56

Indexed in

Pathological Speech Signal Analysis Using Time-Frequency Approaches

Volume 40, Issue 1, 2012, pp. 63-95
DOI: 10.1615/CritRevBiomedEng.v40.i1.40
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ABSTRACT

Acoustical measures of vocal function are important in the assessments of disordered voice, and for monitoring patients' progress over the course of voice therapy. In the last 2 decades, a variety of techniques for automatic pathological voice detection have been proposed, ranging from traditional temporal or spectral approaches to advanced time-frequency techniques. However, comparison of these methods is a difficult task because of the diversity of approaches. In this article, we explain a framework that holds the existing methods. In the light of this framework, the methodologic principles of disordered voice analysis schemes are compared and discussed. In addition, this article presents a comprehensive review to demonstrate the advantages of time-frequency approaches in analyzing and extracting pathological structures from speech signals. This information may have an important role in the development of new approaches to this problem.

CITED BY
  1. Mencattini Arianna, Martinelli Eugenio, Costantini Giovanni, Todisco Massimiliano, Basile Barbara, Bozzali Marco, Di Natale Corrado, Speech emotion recognition using amplitude modulation parameters and a combined feature selection procedure, Knowledge-Based Systems, 63, 2014. Crossref

  2. Gómez-García J.A., Moro-Velázquez L., Godino-Llorente J.I., On the design of automatic voice condition analysis systems. Part I: Review of concepts and an insight to the state of the art, Biomedical Signal Processing and Control, 51, 2019. Crossref

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