Literature DB >> 15655340

Suitability of acoustic perturbation measures in analysing periodic and nearly periodic voice signals.

Estella P-M Ma1, Edwin M-L Yiu.   

Abstract

In recent years, acoustic perturbation measurement has gained clinical and research popularity due to the ease of availability of commercial acoustic analysing software packages in the market. However, because the measurement itself depends critically on the accuracy of frequency tracking from the voice signal, researchers argue that perturbation measures are not suitable for analysing dysphonic voice samples, which are aperiodic in nature. This study compares the fundamental frequency, relative amplitude perturbation, shimmer percent and noise-to-harmonic ratio between a group of dysphonic and non-dysphonic subjects. One hundred and twelve dysphonic subjects (93 females and 19 males) and 41 non-dysphonic subjects (35 females and 6 males) participated in the study. All the 153 voice samples were categorized into type I (periodic or nearly periodic), type II (signals with subharmonic frequencies that approach the fundamental frequency) and type III (aperiodic) signals. Only the type I (periodic and nearly periodic) voice signals were acoustically analysed for perturbation measures. Results revealed that the dysphonic female group presented significantly lower fundamental frequency, significantly higher relative amplitude perturbation and shimmer percent values than the non-dysphonic female group. However, none of these three perturbation measures were able to differentiate between male dysphonic and male non-dysphonic subjects. The noise-to-harmonic ratio failed to differentiate between the dysphonic and non-dysphonic voices for both gender groups. These results question the sensitivity of acoustic perturbation measures in detecting dysphonia and suggest that contemporary acoustic perturbation measures are not suitable for analysing dysphonic voice signals, which are even nearly periodic. Copyright 2005 S. Karger AG, Basel.

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Year:  2005        PMID: 15655340     DOI: 10.1159/000081960

Source DB:  PubMed          Journal:  Folia Phoniatr Logop        ISSN: 1021-7762            Impact factor:   0.849


  5 in total

1.  Updating signal typing in voice: addition of type 4 signals.

Authors:  Alicia Sprecher; Aleksandra Olszewski; Jack J Jiang; Yu Zhang
Journal:  J Acoust Soc Am       Date:  2010-06       Impact factor: 1.840

2.  Pitch Strength as an Outcome Measure for Treatment of Dysphonia.

Authors:  Lisa M Kopf; Cristina Jackson-Menaldi; Adam D Rubin; Jean Skeffington; Eric J Hunter; Mark D Skowronski; Rahul Shrivastav
Journal:  J Voice       Date:  2017-03-17       Impact factor: 2.009

3.  Nonlinear dynamic-based analysis of severe dysphonia in patients with vocal fold scar and sulcus vocalis.

Authors:  Seong Hee Choi; Yu Zhang; Jack J Jiang; Diane M Bless; Nathan V Welham
Journal:  J Voice       Date:  2012-04-18       Impact factor: 2.009

4.  Objective acoustic analysis of pathological voices from patients with vocal nodules and polyps.

Authors:  Jack J Jiang; Yu Zhang; Julia MacCallum; Alicia Sprecher; Liang Zhou
Journal:  Folia Phoniatr Logop       Date:  2009-10-28       Impact factor: 0.849

5.  Voice Disorder Classification Based on Multitaper Mel Frequency Cepstral Coefficients Features.

Authors:  Ömer Eskidere; Ahmet Gürhanlı
Journal:  Comput Math Methods Med       Date:  2015-11-22       Impact factor: 2.238

  5 in total

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