Suscripción a Biblioteca: Guest
Portal Digitalde Biblioteca Digital eLibros Revistas Referencias y Libros de Ponencias Colecciones
Critical Reviews™ in Biomedical Engineering
SJR: 0.207 SNIP: 0.376 CiteScore™: 0.79

ISSN Imprimir: 0278-940X
ISSN En Línea: 1943-619X

Volumes:
Volumen 47, 2019 Volumen 46, 2018 Volumen 45, 2017 Volumen 44, 2016 Volumen 43, 2015 Volumen 42, 2014 Volumen 41, 2013 Volumen 40, 2012 Volumen 39, 2011 Volumen 38, 2010 Volumen 37, 2009 Volumen 36, 2008 Volumen 35, 2007 Volumen 34, 2006 Volumen 33, 2005 Volumen 32, 2004 Volumen 31, 2003 Volumen 30, 2002 Volumen 29, 2001 Volumen 28, 2000 Volumen 27, 1999 Volumen 26, 1998 Volumen 25, 1997 Volumen 24, 1996 Volumen 23, 1995

Critical Reviews™ in Biomedical Engineering

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

SINOPSIS

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.


Articles with similar content:

Causal Influence: Advances in Neurosignal Analysis
Critical Reviews™ in Biomedical Engineering, Vol.33, 2005, issue 4
Hualou Liang, Maciej Kaminski
Oscillatory Mechanics in Asthma: Emphasis on Airway Variability and Heterogeneity
Critical Reviews™ in Biomedical Engineering, Vol.43, 2015, issue 2-3
Swati A. Bhatawadekar, Paul Hernandez, Geoffrey N. Maksym
Technologies for Developing Ambulatory Cough Monitoring Devices
Critical Reviews™ in Biomedical Engineering, Vol.41, 2013, issue 6
Kofi Odame, Justice Amoh
Efficient Scalable DCT Block-Based Image Coder with Compression of Signs of DCT Coefficients
Telecommunications and Radio Engineering, Vol.67, 2008, issue 5
A. V. Bazhyna, N. N. Ponomarenko
Targeting Quadriceps Inhibition with Electromyographic Biofeedback: A Neuroplastic Approach
Critical Reviews™ in Biomedical Engineering, Vol.41, 2013, issue 2
Conrad Gabler, Patrick H. Kitzman, Carl G. Mattacola