Literature DB >> 15376687

Vowel formant discrimination for high-fidelity speech.

Chang Liu1, Diane Kewley-Port.   

Abstract

The goal of this study was to establish the ability of normal-hearing listeners to discriminate formant frequency in vowels in everyday speech. Vowel formant discrimination in syllables, phrases, and sentences was measured for high-fidelity (nearly natural) speech synthesized by STRAIGHT [Kawahara et al., Speech Commun. 27, 187-207 (1999)]. Thresholds were measured for changes in F1 and F2 for the vowels /I, epsilon, ae, lambda/ in /bVd/ syllables. Experimental factors manipulated included phonetic context (syllables, phrases, and sentences), sentence discrimination with the addition of an identification task, and word position. Results showed that neither longer phonetic context nor the addition of the identification task significantly affected thresholds, while thresholds for word final position showed significantly better performance than for either initial or middle position in sentences. Results suggest that an average of 0.37 barks is required for normal-hearing listeners to discriminate vowel formants in modest length sentences, elevated by 84% compared to isolated vowels. Vowel formant discrimination in several phonetic contexts was slightly elevated for STRAIGHT-synthesized speech compared to formant-synthesized speech stimuli reported in the study by Kewley-Port and Zheng [J. Acoust. Soc. Am. 106, 2945-2958 (1999)]. These elevated thresholds appeared related to greater spectral-temporal variability for high-fidelity speech produced by STRAIGHT than for formant-synthesized speech.

Mesh:

Year:  2004        PMID: 15376687     DOI: 10.1121/1.1768958

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


  5 in total

1.  Vowel identification by younger and older listeners: relative effectiveness of vowel edges and vowel centers.

Authors:  Gail S Donaldson; Elizabeth K Talmage; Catherine L Rogers
Journal:  J Acoust Soc Am       Date:  2010-09       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.  Estimating vowel formant discrimination thresholds using a single-interval classification task.

Authors:  Eric Oglesbee; Diane Kewley-Port
Journal:  J Acoust Soc Am       Date:  2009-04       Impact factor: 1.840

4.  Multichannel compression: effects of reduced spectral contrast on vowel identification.

Authors:  Stephanie Bor; Pamela Souza; Richard Wright
Journal:  J Speech Lang Hear Res       Date:  2008-07-29       Impact factor: 2.297

5.  Shifting Perceptual Weights in L2 Vowel Identification after Training.

Authors:  Wei Hu; Lin Mi; Zhen Yang; Sha Tao; Mingshuang Li; Wenjing Wang; Qi Dong; Chang Liu
Journal:  PLoS One       Date:  2016-09-20       Impact factor: 3.240

  5 in total

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