Literature DB >> 3702379

Speech waveform perturbation analysis: a perceptual-acoustical comparison of seven measures.

A G Askenfelt, B Hammarberg.   

Abstract

The performance of seven acoustic measures of cycle-to-cycle variations (perturbations) in the speech waveform was compared. All measures were calculated automatically and applied on running speech. Three of the measures refer to the frequency of occurrence and severity of waveform perturbations in special selected parts of the speech, identified by means of the rate of change in the fundamental frequency. Three other measures refer to statistical properties of the distribution of the relative frequency differences between adjacent pitch periods. One perturbation measure refers to the percentage of consecutive pitch period differences with alternating signs. The acoustic measures were tested on tape recorded speech samples from 41 voice patients, before and after successful therapy. Scattergrams of acoustic waveform perturbation data versus an average of perceived deviant voice qualities, as rated by voice clinicians, are presented. The perturbation measures were compared with regard to the acoustic-perceptual correlation and their ability to discriminate between normal and pathological voice status. The standard deviation of the distribution of the relative frequency differences was suggested as the most useful acoustic measure of waveform perturbations for clinical applications.

Entities:  

Mesh:

Year:  1986        PMID: 3702379     DOI: 10.1044/jshr.2901.50

Source DB:  PubMed          Journal:  J Speech Hear Res        ISSN: 0022-4685


  6 in total

1.  The value of the acoustic voice quality index as a measure of dysphonia severity in subjects speaking different languages.

Authors:  Youri Maryn; Marc De Bodt; Ben Barsties; Nelson Roy
Journal:  Eur Arch Otorhinolaryngol       Date:  2013-10-26       Impact factor: 2.503

2.  Refining algorithmic estimation of relative fundamental frequency: Accounting for sample characteristics and fundamental frequency estimation method.

Authors:  Jennifer M Vojtech; Roxanne K Segina; Daniel P Buckley; Katharine R Kolin; Monique C Tardif; J Pieter Noordzij; Cara E Stepp
Journal:  J Acoust Soc Am       Date:  2019-11       Impact factor: 1.840

3.  Image representation of the acoustic signal: An effective tool for modeling spectral and temporal dynamics of connected speech.

Authors:  Hamzeh Ghasemzadeh; Philip C Doyle; Jeff Searl
Journal:  J Acoust Soc Am       Date:  2022-07       Impact factor: 2.482

4.  A Measure of the Auditory-perceptual Quality of Strain from Electroglottographic Analysis of Continuous Dysphonic Speech: Application to Adductor Spasmodic Dysphonia.

Authors:  Keerthan Somanath; Ted Mau
Journal:  J Voice       Date:  2015-12-28       Impact factor: 2.009

5.  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

6.  Nonlinear analyses of elicited modal, raised, and pressed rabbit phonation.

Authors:  Shaheen N Awan; Carolyn K Novaleski; Bernard Rousseau
Journal:  J Voice       Date:  2014-05-16       Impact factor: 2.009

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.