Literature DB >> 14587619

Objective measures of breathy voice quality obtained using an auditory model.

Rahul Shrivastav1, Christine M Sapienza.   

Abstract

While several acoustic measures have been proposed to quantify listener ratings of breathy voice quality, most have failed to give a consistent and high correlation with perceptual ratings of breathiness. One reason for these limitations is that most acoustic measures do not address the nonlinear processes that occur in the peripheral auditory system during the auditory perceptual process. It was hypothesized that modeling such nonlinear events during signal processing may provide objective parameters that better correspond to perceptual ratings of breathy voice quality. Ten listeners rated 27 voice stimuli using a five-point rating scale. Acoustic measures were determined from these stimuli and were selected based on their history of having a moderate to strong correlation to perceptual ratings of breathiness. The stimuli were also analyzed using an auditory model proposed by Moore, Glasberg, and Baer [J. Audio Eng. Soc. 45(4), 224-239 (1997)], and new measures were calculated from the output of this model. These measures included the partial loudness of the signal and the loudness of the aspiration noise. Measures obtained from the output of the auditory model were found to account for a high amount of variance in the perceptual ratings of breathiness.

Entities:  

Mesh:

Year:  2003        PMID: 14587619     DOI: 10.1121/1.1605414

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


  22 in total

1.  Developing a single comparison stimulus for matching breathy voice quality.

Authors:  Sona Patel; Rahul Shrivastav; David A Eddins
Journal:  J Speech Lang Hear Res       Date:  2012-01-03       Impact factor: 2.297

2.  Perceptual interaction of the harmonic source and noise in voice.

Authors:  Jody Kreiman; Bruce R Gerratt
Journal:  J Acoust Soc Am       Date:  2012-01       Impact factor: 1.840

3.  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

4.  Updating signal typing in voice: addition of type 4 signals.

Authors:  Alicia Sprecher; Aleksandra Olszewski; Jack J Jiang; Yu Zhang
Journal:  J Acoust Soc Am       Date:  2010-06       Impact factor: 1.840

5.  Relation of structural and vibratory kinematics of the vocal folds to two acoustic measures of breathy voice based on computational modeling.

Authors:  Robin A Samlan; Brad H Story
Journal:  J Speech Lang Hear Res       Date:  2011-04-15       Impact factor: 2.297

6.  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

7.  Modeling the voice source in terms of spectral slopes.

Authors:  Marc Garellek; Robin Samlan; Bruce R Gerratt; Jody Kreiman
Journal:  J Acoust Soc Am       Date:  2016-03       Impact factor: 1.840

8.  Measures of spectral slope using an excised larynx model.

Authors:  Fariborz Alipour; Ronald C Scherer; Eileen Finnegan
Journal:  J Voice       Date:  2011-11-06       Impact factor: 2.009

9.  Perceptual distances of breathy voice quality: a comparison of psychophysical methods.

Authors:  Sona Patel; Rahul Shrivastav; David A Eddins
Journal:  J Voice       Date:  2009-01-29       Impact factor: 2.009

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.