Literature DB >> 7240572

Modeling the judgment of vowel quality differences.

R A Bladon, B Lindblom.   

Abstract

The hypothesis of this study is that the auditory cues relevant to listeners' judgment of vowel quality are a spectral representation of loudness density versus pitch. A model is described that generates such patterns for steady-state vowels. In addition to the nonlinear transformations underlying the loudness density and pitch scales, it incorporates experimentally established characteristics associated with frequency resolution and masking, such as the critical band concept. This model is combined with a measure of auditory perceptual distance which, operating on pairs of vowels, treats each stimulus representation as a single spectral shape. In order to test the distance metric and the model, experimental data were gathered from listeners' numerical estimates of quality differences between stimulus pairs which compared four-formant and two-formant vowels. The correlation between experimental and theoretical results was 0.89. We interpret this value to indicate that the present definition of auditory cue and auditory distance can be said to account for the experimental behavior of our listeners only in a rather gross fashion. On the other hand, the theory was developed on the basis of rather conservative assumptions about the nature of auditory cues. For instance, the model ignores the possibility of temporal coding and certain nonlinear effects, and it does not pay special attention to spectral peaks. Seen in that light, the agreement between observed and predicted auditory distance is remarkably good.

Mesh:

Year:  1981        PMID: 7240572     DOI: 10.1121/1.385824

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


  11 in total

1.  Temporal properties of perceptual calibration to local and broad spectral characteristics of a listening context.

Authors:  Joshua M Alexander; Keith R Kluender
Journal:  J Acoust Soc Am       Date:  2010-12       Impact factor: 1.840

2.  The neural encoding of formant frequencies contributing to vowel identification in normal-hearing listeners.

Authors:  Jong Ho Won; Kelly Tremblay; Christopher G Clinard; Richard A Wright; Elad Sagi; Mario Svirsky
Journal:  J Acoust Soc Am       Date:  2016-01       Impact factor: 1.840

3.  Objective measures for predicting speech intelligibility in noisy conditions based on new band-importance functions.

Authors:  Jianfen Ma; Yi Hu; Philipos C Loizou
Journal:  J Acoust Soc Am       Date:  2009-05       Impact factor: 1.840

4.  Effects of spectral modulation filtering on vowel identification.

Authors:  Chang Liu; David A Eddins
Journal:  J Acoust Soc Am       Date:  2008-09       Impact factor: 1.840

5.  Do 'Dominant Frequencies' explain the listener's response to formant and spectrum shape variations?

Authors:  Björn Lindblom; Randy Diehl; Carl Creeger
Journal:  Speech Commun       Date:  2009-07-01       Impact factor: 2.017

6.  Auditory spectral integration in the perception of static vowels.

Authors:  Robert Allen Fox; Ewa Jacewicz; Chiung-Yun Chang
Journal:  J Speech Lang Hear Res       Date:  2011-08-23       Impact factor: 2.297

7.  Paradoxical vocal changes in a trained singer by focally cooling the right superior temporal gyrus.

Authors:  Kalman A Katlowitz; Hiroyuki Oya; Matthew A Howard; Jeremy D W Greenlee; Michael A Long
Journal:  Cortex       Date:  2017-02-20       Impact factor: 4.027

8.  Dynamic spectral structure specifies vowels for adults and children.

Authors:  Susan Nittrouer; Joanna H Lowenstein
Journal:  Lang Speech       Date:  2014-12       Impact factor: 1.500

9.  Auditory spectral integration in the perception of diphthongal vowels.

Authors:  Robert Allen Fox; Ewa Jacewicz; Chiung-Yun Chang
Journal:  J Acoust Soc Am       Date:  2010-10       Impact factor: 1.840

10.  Contribution of consonant landmarks to speech recognition in simulated acoustic-electric hearing.

Authors:  Fei Chen; Philipos C Loizou
Journal:  Ear Hear       Date:  2010-04       Impact factor: 3.570

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