RT Journal Article
ID 18fe9d4d0d499904
A1 Ghoraani, Behnaz 
A1 Umapathy, Karthikeyan 
A1 Sugavaneswaran, Lakshmi 
A1 Krishnan, Sridhar 
T1 Pathological Speech Signal Analysis Using Time-Frequency Approaches
JF Critical Reviews™ in Biomedical Engineering
JO CRB
YR 2012
FD 2012-03-16
VO 40
IS 1
SP 63
OP 95
K1 pathological speech detection
K1 voice quality assessment
K1 feature extraction
K1 classification
K1 time-frequency features
AB 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.
PB Begell House
LK https://www.dl.begellhouse.com/journals/4b27cbfc562e21b8,26374fd93344680e,18fe9d4d0d499904.html