Literature DB >> 19115797

Evaluation of hypernasality in vowels using voice low tone to high tone ratio.

Guo-She Lee1, Ching-Ping Wang, Sherry Fu.   

Abstract

OBJECTIVE: The voice low tone to high tone ratio (VLHR) is defined as the power ratio of low frequency to high frequency energy obtained by dividing the voice spectrum with a specific cutoff frequency. In a previous study, VLHR correlated significantly with nasalance and perceptual rating of hypernasality for a single vowel. The methodology was optimized in this study by investigating the correlations among other vowels.
DESIGN: Voice signals of six sustained vowels vocalized by subjects with hypernasality were collected. Vowel nasalance was obtained with a nasometer, and hypernasality rating scores were provided by two speech-language pathologists. The VLHRs calculated using different cutoff frequencies were correlated with nasalance and hypernasality rating scores. PARTICIPANTS: Eight subjects with hypernasality caused by palatal fistula or velopharyngeal insufficiency. MAIN OUTCOME MEASURES: VLHR, nasalance, and hypernasality rating score.
RESULTS: The correlation of VLHR with nasalance and hypernasality rating was most significant using a cutoff frequency of 600 Hz. The correlation of VLHR with nasalance was significant (r = .62, p < .01, Pearson's correlation), as was the correlation of VLHR with hypernasality score (Spearman's rank correlation coefficient = .62, p < .01).
CONCLUSIONS: VLHR correlated significantly with nasalance and hypernasality in the six sustained vowels and may provide another quantitative index for the evaluation of hypernasality in sustained vowels.

Entities:  

Mesh:

Year:  2008        PMID: 19115797     DOI: 10.1597/07-184.1

Source DB:  PubMed          Journal:  Cleft Palate Craniofac J        ISSN: 1055-6656


  7 in total

1.  Perceptual sensitivity to first harmonic amplitude in the voice source.

Authors:  Jody Kreiman; Bruce R Gerratt
Journal:  J Acoust Soc Am       Date:  2010-10       Impact factor: 1.840

2.  Robust Estimation of Hypernasality in Dysarthria with Acoustic Model Likelihood Features.

Authors:  Michael Saxon; Ayush Tripathi; Yishan Jiao; Julie Liss; Visar Berisha
Journal:  IEEE/ACM Trans Audio Speech Lang Process       Date:  2020-08-07

3.  Spectral Analysis of Hypernasality in Cleft Palate Children: A Pre-Post Surgery Comparison.

Authors:  Thejaswi Dodderi; Manjunath Narra; Sneha Mareen Varghese; Dessai Teja Deepak
Journal:  J Clin Diagn Res       Date:  2016-01-01

4.  Co-Occurrence of Hypernasality and Voice Impairment in Amyotrophic Lateral Sclerosis: Acoustic Quantification.

Authors:  Marziye Eshghi; Kathryn P Connaghan; Sarah E Gutz; James D Berry; Yana Yunusova; Jordan R Green
Journal:  J Speech Lang Hear Res       Date:  2021-10-29       Impact factor: 2.674

Review 5.  Velopharyngeal insufficiency: diagnosis and management.

Authors:  Robert J Shprintzen; Eileen Marrinan
Journal:  Curr Opin Otolaryngol Head Neck Surg       Date:  2009-08       Impact factor: 2.064

6.  A Deep Learning Algorithm for Objective Assessment of Hypernasality in Children With Cleft Palate.

Authors:  Vikram C Mathad; Nancy Scherer; Kathy Chapman; Julie M Liss; Visar Berisha
Journal:  IEEE Trans Biomed Eng       Date:  2021-09-20       Impact factor: 4.756

7.  Paralinguistic singing attribute recognition using supervised machine learning for describing the classical tenor solo singing voice in vocal pedagogy.

Authors:  Yanze Xu; Weiqing Wang; Huahua Cui; Mingyang Xu; Ming Li
Journal:  EURASIP J Audio Speech Music Process       Date:  2022-04-15
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.