Literature DB >> 11386569

The relationship between spectral characteristics and perceived hypernasality in children.

R Kataoka1, D W Warren, D J Zajac, R Mayo, R W Lutz.   

Abstract

The purpose of this study was to quantify perceived hypernasality in children. One-third octave spectra of the isolated vowel [i] were obtained from 32 children with cleft palate and 5 children without cleft palate. Four experienced listeners rated the severity of hypernasality of the 37 speech samples using a 6-point equal-appearing interval scale. When the average 1/3-octave spectra from the hypernasal group and the normal resonance group were compared, spectral characteristics of hypernasality were identified as increased amplitudes between F1 and F2 and decreased amplitudes in the region of F2. Based on the findings of the children's speech, 36 speech samples with manipulated spectral characteristics were used to minimize the influences of voice source characteristics on perceived hypernasality. Multiple regression analysis revealed a high correlation (R = 0.84) between the amplitudes of 1/3-octave bands (1 k, 1.6 k, and 2.5 kHz) and the perceptual ratings. Increased amplitudes of bands between F1 and F2 (1 k, 1.6 kHz) and decreased amplitude of the band of F2 (2.5 kHz) was associated with an increasing perceived hypernasality. These results suggest that the amplitudes of the three 1/3-octave bands are appropriate acoustic parameters to quantify hypernasality in the isolated vowel [i].

Entities:  

Mesh:

Year:  2001        PMID: 11386569     DOI: 10.1121/1.1360717

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  10 in total

1.  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

2.  A distinct variant of mixed dysarthria reflects parkinsonism and dystonia due to ephedrone abuse.

Authors:  Jan Rusz; Marika Megrelishvili; Cecilia Bonnet; Michael Okujava; Hana Brožová; Irine Khatiashvili; Madona Sekhniashvili; Marina Janelidze; Eduardo Tolosa; Evžen Růžička
Journal:  J Neural Transm (Vienna)       Date:  2014-01-21       Impact factor: 3.575

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

5.  Data-Driven Classification of Dysarthria Profiles in Children With Cerebral Palsy.

Authors:  Kristen M Allison; Katherine C Hustad
Journal:  J Speech Lang Hear Res       Date:  2018-12-10       Impact factor: 2.297

6.  Reliability of Perceptual Judgments of Phonetic Accuracy and Hypernasality Among Speech-Language Pathologists for Children With Dysarthria.

Authors:  Kristen M Allison; Mackenzie Russell; Katherine C Hustad
Journal:  Am J Speech Lang Pathol       Date:  2021-03-01       Impact factor: 2.408

7.  Evaluation of noise excitation as a method for detection of hypernasality.

Authors:  Kat Young; Triona Sweeney; Rebecca R Vos; Felicity Mehendale; Helena Daffern
Journal:  Appl Acoust       Date:  2022-03-15       Impact factor: 2.639

8.  Predicting Speech Intelligibility Decline in Amyotrophic Lateral Sclerosis Based on the Deterioration of Individual Speech Subsystems.

Authors:  Panying Rong; Yana Yunusova; Jun Wang; Lorne Zinman; Gary L Pattee; James D Berry; Bridget Perry; Jordan R Green
Journal:  PLoS One       Date:  2016-05-05       Impact factor: 3.240

9.  Computerized Analysis of Acoustic Characteristics of Patients with Internal Nasal Valve Collapse Before and After Functional Rhinoplasty.

Authors:  Fariba Rezaei; Mohammad Reza Omrani; Fateme Abnavi; Fariba Mojiri; Marzieh Golabbakhsh; Sohrab Barati; Behzad Mahaki
Journal:  J Med Signals Sens       Date:  2015 Oct-Dec

10.  Acoustic analysis and detection of pharyngeal fricative in cleft palate speech using correlation of signals in independent frequency bands and octave spectrum prominent peak.

Authors:  Fei He; Xiyue Wang; Heng Yin; Han Zhang; Gang Yang; Ling He
Journal:  Biomed Eng Online       Date:  2020-05-27       Impact factor: 2.819

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.