Literature DB >> 19135854

The effectiveness of the glottal to noise excitation ratio for the screening of voice disorders.

Juan Ignacio Godino-Llorente1, Víctor Osma-Ruiz, Nicolás Sáenz-Lechón, Pedro Gómez-Vilda, Manuel Blanco-Velasco, Fernando Cruz-Roldán.   

Abstract

This paper evaluates the capabilities of the Glottal to Noise Excitation Ratio for the screening of voice disorders. A lot of effort has been made using this parameter to evaluate voice quality, but there do not exist any studies that evaluate the discrimination capabilities of this acoustic parameter to classify between normal and pathological voices, and neither are there any previous studies that reflect the normative values that could be used for screening purposes. A set of 226 speakers (53 normal and 173 pathological) taken from a voice disorders database were used to evaluate the usefulness of this parameter for discriminating normal and pathological voices. To evaluate this parameter, the effect of the bandwidth of the Hilbert envelopes and the frequency shift have been analyzed, concluding that a good discrimination is obtained with a bandwidth of 1000 Hz and a frequency shift of 300 Hz. The results confirm that the Glottal to Noise Excitation Ratio provides reliable measurements in terms of discrimination among normal and pathological voices, comparable to other classical long-term noise measurements found in the literature, such as Normalized Noise Energy or Harmonics to Noise Ratio, so this parameter can be considered a good choice for screening purposes. Copyright 2010 The Voice Foundation. Published by Mosby, Inc. All rights reserved.

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Year:  2009        PMID: 19135854     DOI: 10.1016/j.jvoice.2008.04.006

Source DB:  PubMed          Journal:  J Voice        ISSN: 0892-1997            Impact factor:   2.009


  5 in total

1.  An algorithm for Parkinson's disease speech classification based on isolated words analysis.

Authors:  Federica Amato; Luigi Borzì; Gabriella Olmo; Juan Rafael Orozco-Arroyave
Journal:  Health Inf Sci Syst       Date:  2021-07-30

2.  Acoustic voice analysis in the COVID-19 era.

Authors:  Giada Cavallaro; Vincenzo Di Nicola; Nicola Quaranta; Maria Luisa Fiorella
Journal:  Acta Otorhinolaryngol Ital       Date:  2020-11-24       Impact factor: 2.124

3.  Voice Pathology Detection Using Modulation Spectrum-Optimized Metrics.

Authors:  Laureano Moro-Velázquez; Jorge Andrés Gómez-García; Juan Ignacio Godino-Llorente
Journal:  Front Bioeng Biotechnol       Date:  2016-01-20

4.  The Effects of Size and Type of Vocal Fold Polyp on Some Acoustic Voice Parameters.

Authors:  Elaheh Akbari; Sadegh Seifpanahi; Ali Ghorbani; Farzad Izadi; Farhad Torabinezhad
Journal:  Iran J Med Sci       Date:  2018-03

5.  Performance of the phonatory deviation diagram in the evaluation of rough and breathy synthesized voices.

Authors:  Leonardo Wanderley Lopes; Jonas Almeida de Freitas; Anna Alice Almeida; Priscila Oliveira Costa Silva; Giorvan Ânderson Dos Santos Alves
Journal:  Braz J Otorhinolaryngol       Date:  2017-07-05
  5 in total

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