Literature DB >> 20488659

Spectral analysis of the voice in Down Syndrome.

G Albertini1, S Bonassi, V Dall'Armi, I Giachetti, S Giaquinto, M Mignano.   

Abstract

The voice quality of individuals with Down Syndrome (DS) is generally described as husky, monotonous and raucous. On the other hand, the voice of DS children is characterized by breathiness, roughness, and nasality and is typically low pitched. However, research on phonation and intonation in these participants is limited. The present study was designed to provide data from the spectral analysis of the human voice in DS people. A cross-sectional, observational design was applied. Thirty DS adults and 48 DS children were enrolled after clinical evaluation. Thirty men, 30 women and 46 children constituted the control group. The participants had to repeat a set of Italian words twice. The Real Time Pitch software manufactured by KayPENTAX recorded the voice. The following spectral descriptors were obtained for each word: Mean Frequency and standard deviation, Energy, Duration, Jitter and Shimmer. Test-retest performance was also checked. The voice of DS adults was characterized by a significantly higher Mean Frequency, particularly in males (p<0.0001), by a smaller variation (p=0.0044 in males and p=0.0046 in females) and by a significantly lower level of Energy (p=0.0037 in males and p=0.0025 females). Furthermore, limited to male adults, a shorter Duration (p=0.0156) and a smaller value of Shimmer (p=0.0014) was observed. The difference between DS children and age-matched controls was limited, reaching significance only for the Coefficient of Variation (CV) (p=0.031). The difference in Mean Frequency between adults and children was more evident in the control males than in all other groups. The lack of marked difference between voice characteristics of children with and without DS is outlined by findings. Pearson's correlation coefficients on repeated productions ranged from 0.23 (Jitter) to 0.86 (Mean Frequency) in children, and from 0.07 (Shimmer) to 0.86 (Mean Frequency) in adults. In the control group, all the coefficients ranged between 0.85 and 0.98. As expected, women had a higher Mean Frequency than men, but the CV was around 0.1 for both. By contrast, children had a significantly higher Mean Frequency and a lower CV. In conclusion, spectral analysis of the human voice is recommended in each laboratory of speech and language rehabilitation to exploit the accuracy of voice descriptors. Copyright (c) 2010 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20488659     DOI: 10.1016/j.ridd.2010.04.024

Source DB:  PubMed          Journal:  Res Dev Disabil        ISSN: 0891-4222


  4 in total

Review 1.  Speech impairment in Down syndrome: a review.

Authors:  Ray D Kent; Houri K Vorperian
Journal:  J Speech Lang Hear Res       Date:  2012-12-28       Impact factor: 2.297

2.  Auditory-Perceptual Features of Speech in Children and Adults With Down Syndrome: A Speech Profile Analysis.

Authors:  Raymond D Kent; Julie Eichhorn; Erin M Wilson; Youmi Suk; Daniel M Bolt; Houri K Vorperian
Journal:  J Speech Lang Hear Res       Date:  2021-03-31       Impact factor: 2.297

3.  Searching for Best Predictors of Paralinguistic Comprehension and Production of Emotions in Communication in Adults With Moderate Intellectual Disability.

Authors:  Gordana Calić; Nenad Glumbić; Mirjana Petrović-Lazić; Mirjana Đorđević; Tatjana Mentus
Journal:  Front Psychol       Date:  2022-07-08

4.  Deep learning and machine learning-based voice analysis for the detection of COVID-19: A proposal and comparison of architectures.

Authors:  Giovanni Costantini; Valerio Cesarini Dr; Carlo Robotti; Marco Benazzo; Filomena Pietrantonio; Stefano Di Girolamo; Antonio Pisani; Pietro Canzi; Simone Mauramati; Giulia Bertino; Irene Cassaniti; Fausto Baldanti; Giovanni Saggio
Journal:  Knowl Based Syst       Date:  2022-07-28       Impact factor: 8.139

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.