Literature DB >> 2348025

Acoustic recognition of voice disorders: a comparative study of running speech versus sustained vowels.

F Klingholtz1.   

Abstract

The signals of running speech and sustained vowels of normals and subjects suffering from dysphonia were analyzed statistically with respect to the signal-to-noise ratio (SNR). The distribution of the SNR measured in multiple overlapping frames in the speech signal was described by a linear combination of the distribution frequencies for SNR = 0 dB, 0 dB less than SNR less than 15 dB, and SNR greater than or equal to 15 dB. The values of the linear combination, the SNR of the vowels, and clinical assignment of the voices to normal and pathologic populations based on laryngoscopic and stroboscopic investigation parameters were used to compare the different evaluations of the voices. The SNR distribution in speech remained stable over signal lengths of more than 30 s. The correlation coefficient between the SNR measure for running speech and the SNR of sustained vowels amounted to only 0.63. The error rate in the discrimination between normal and dysphonic voices amounted to 22.6% in application to sustained vowels and 5.6% when the SNR distribution was used. Possible reasons for the observed discrepancies are discussed, and the results are compared to those of other studies.

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Year:  1990        PMID: 2348025     DOI: 10.1121/1.399189

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  7 in total

1.  Acoustical recognition of laryngeal pathology: a comparison of two strategies based on sets of features.

Authors:  E Perrin; C Berger-Vachon; L Collet
Journal:  Med Biol Eng Comput       Date:  1999-09       Impact factor: 2.602

2.  Acoustical recognition of laryngeal pathology using the fundamental frequency and the first three formants of vowels.

Authors:  E Perrin; C Berger-Vachon; I Kauffmann; L Collet
Journal:  Med Biol Eng Comput       Date:  1997-07       Impact factor: 2.602

3.  Feature analysis of pathological speech signals using local discriminant bases technique.

Authors:  K Umapathy; S Krishnan
Journal:  Med Biol Eng Comput       Date:  2005-07       Impact factor: 2.602

4.  Acoustic characteristics of phonation in "wet voice" conditions.

Authors:  Shanmugam Murugappan; Suzanne Boyce; Sid Khosla; Lisa Kelchner; Ephraim Gutmark
Journal:  J Acoust Soc Am       Date:  2010-04       Impact factor: 1.840

5.  Vocal dysperiodicities estimation by means of adaptive long-term prediction.

Authors:  Abdellah Kacha; Frédéric Bettens; Francis Grenez
Journal:  Med Biol Eng Comput       Date:  2006-03       Impact factor: 2.602

6.  The existence of phonatory instability in multiple sclerosis: an acoustic and electroglottographic study.

Authors:  Kostas Konstantopoulos; Michail Vikelis; John Anthony Seikel; Dimos-Dimitrios Mitsikostas
Journal:  Neurol Sci       Date:  2009-10-30       Impact factor: 3.307

7.  Acoustic voice analysis in different phonetic contexts after larynx radiotherapy for T1 vocal cord carcinoma.

Authors:  Angeles Rovirosa; Carlos Ascaso; Rosa Abellana; Eugenio Martínez-Celdrán; Alicia Ortega; Mercedes Velasco; Montserrat Bonet; Teresa Herrero; Meritxell Arenas; Albert Biete
Journal:  Clin Transl Oncol       Date:  2008-03       Impact factor: 3.405

  7 in total

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