Signal Typing and Acoustic Analysis of Voice in School-Aged Indian Children.

J Voice

Department of Audiology and Speech-Language Pathology, SRM Medical College Hospital and Research Centre, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu District, Tamil Nadu, India. Electronic address:

Published: October 2024

AI Article Synopsis

  • - This study aimed to classify voice signals in children aged 4 to 16 using narrowband spectrograms and assess their quality through auditory evaluation, focusing on distinguishing between different types of voice signals.
  • - Researchers recorded voice samples from 457 boys and girls, generating spectrograms, having two raters classify the signals, and calculating acoustic measures with PRAAT software, achieving a high level of agreement in classifications.
  • - Results showed that 79% of samples were classified as type 1 voices, with significant differences in certain acoustic measures based on age and sex, providing valuable normative data for understanding and comparing pediatric dysphonia.

Article Abstract

Objectives: The current study aimed to classify voice signals using narrowband spectrograms and investigate acoustic measures in samples classified as type 1 and rated normal based on auditory-perceptual evaluation.

Methods: Voice samples of sustained phonation of /a/ of 234 males and 223 females aged between 4 and 16; 11 years were recorded and classified into 5 age groups. Narrowband spectrograms were generated and signal typing was done by two raters. Acoustic parameters for type-I signals were derived using PRAAT software (version 6.3.01). Inter-rater reliability was measured for both signal typing and auditory-perceptual evaluation.

Results: Based on agreement by two raters, around 79% of samples were classified as type 1, 8.5% as type II, and 7.8% as type-III signals. Inter-rater reliability for signal typing and GRBAS (Grade,Roughness, Breathiness, Asthenia, Strained) rating were found to be good (Intraclass Correlation Coefficient-0.90 and 0.81). Overall comparison using analysis of variance revealed statistically significant difference F0-related measures and NHR values (P < 0.05). Within males and females, F0 measures were statistically significant (P < 0.05). Noise-related measures were significant in males (P < 0.05). Independent t test revealed sex differences for F0 measures, jitter %, and NHR values in children above 13 years of age (P < 0.05).

Conclusions: Normative data obtained in this study can be used as a reference to compare with children with pediatric dysphonia.

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Source
http://dx.doi.org/10.1016/j.jvoice.2024.09.024DOI Listing

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