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生物医学工程评论综述™
SJR: 0.207 SNIP: 0.376 CiteScore™: 0.79

ISSN 打印: 0278-940X
ISSN 在线: 1943-619X

生物医学工程评论综述™

DOI: 10.1615/CritRevBiomedEng.v40.i1.40
pages 63-95

Pathological Speech Signal Analysis Using Time-Frequency Approaches

Behnaz Ghoraani
Ryerson University, Toronto, Ontario, Canada
Karthikeyan Umapathy
Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada
Lakshmi Sugavaneswaran
Ryerson University, Toronto, Ontario, Canada
Sridhar Krishnan
Department of Electrical and Computer Engineering, Ryerson University 350, Victoria Street, Toronto, ON M5B 2k3, Canada

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.


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