Literature DB >> 14740932

The use of an auditory model in predicting perceptual ratings of breathy voice quality.

Rahul Shrivastav1.   

Abstract

Despite much research, the relationship between vocal acoustic signals and perceived voice quality is not well understood. The present study used an auditory model proposed by Moore et al to study how changes in the acoustic spectrum may relate to changes in perceptual ratings of breathiness. Perceptual ratings of breathiness were obtained using a multidimensional scaling (MDS) design. The stimulus distances on the dominant MDS dimension were correlated with several commonly used acoustic measures for voice quality. These distances were also compared with measures obtained from the output of the auditory model. Results show that the partial loudness of the harmonic energy obtained with the aspiration noise acting as a masker was the most important predictor of perceptual ratings of breathiness. Results also demonstrate that measures obtained from the auditory spectrum were better predictors of perceptual ratings of breathiness than were commonly used acoustic spectral measures.

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Year:  2003        PMID: 14740932     DOI: 10.1067/s0892-1997(03)00077-8

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


  11 in total

1.  Pitch strength of normal and dysphonic voices.

Authors:  Rahul Shrivastav; David A Eddins; Supraja Anand
Journal:  J Acoust Soc Am       Date:  2012-03       Impact factor: 1.840

2.  Aging Effect on Korean Female Voice: Acoustic and Perceptual Examinations of Breathiness.

Authors:  Seung Jin Lee; YoonHee Cho; Ji Yeon Song; DamHee Lee; Yunjung Kim; HyangHee Kim
Journal:  Folia Phoniatr Logop       Date:  2016-05-05       Impact factor: 0.849

3.  A new approach: information gain algorithm-based k-nearest neighbors hybrid diagnostic system for Parkinson's disease.

Authors:  Cüneyt Yücelbaş
Journal:  Phys Eng Sci Med       Date:  2021-04-14

4.  Pitch Strength as an Outcome Measure for Treatment of Dysphonia.

Authors:  Lisa M Kopf; Cristina Jackson-Menaldi; Adam D Rubin; Jean Skeffington; Eric J Hunter; Mark D Skowronski; Rahul Shrivastav
Journal:  J Voice       Date:  2017-03-17       Impact factor: 2.009

5.  Integrated software for analysis and synthesis of voice quality.

Authors:  Jody Kreiman; Norma Antoñanzas-Barroso; Bruce R Gerratt
Journal:  Behav Res Methods       Date:  2010-11

6.  The Perception of Breathiness in the Voices of Pediatric Speakers.

Authors:  Lisa M Kopf; Mark D Skowronski; Supraja Anand; David A Eddins; Rahul Shrivastav
Journal:  J Voice       Date:  2017-11-20       Impact factor: 2.009

7.  Modeling of Breathy Voice Quality Using Pitch-strength Estimates.

Authors:  David A Eddins; Supraja Anand; Arturo Camacho; Rahul Shrivastav
Journal:  J Voice       Date:  2016-01-07       Impact factor: 2.009

8.  A computational model to predict changes in breathiness resulting from variations in aspiration noise level.

Authors:  Rahul Shrivastav; Arturo Camacho
Journal:  J Voice       Date:  2009-11-05       Impact factor: 2.009

9.  Comparison of Pitch Strength With Perceptual and Other Acoustic Metric Outcome Measures Following Medialization Laryngoplasty.

Authors:  Adam D Rubin; Cristina Jackson-Menaldi; Lisa M Kopf; Katherine Marks; Jean Skeffington; Mark D Skowronski; Rahul Shrivastav; Eric J Hunter
Journal:  J Voice       Date:  2019-09       Impact factor: 2.009

10.  Relation of perceived breathiness to laryngeal kinematics and acoustic measures based on computational modeling.

Authors:  Robin A Samlan; Brad H Story; Kate Bunton
Journal:  J Speech Lang Hear Res       Date:  2013-06-19       Impact factor: 2.297

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