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Critical Reviews™ in Biomedical Engineering

Erscheint 6 Ausgaben pro Jahr

ISSN Druckformat: 0278-940X

ISSN Online: 1943-619X

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

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Pathological Speech Signal Analysis Using Time-Frequency Approaches

Volumen 40, Ausgabe 1, 2012, pp. 63-95
DOI: 10.1615/CritRevBiomedEng.v40.i1.40
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ABSTRAKT

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.

REFERENZIERT VON
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  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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