Literature DB >> 15603157

Formant discrimination in noise for isolated vowels.

Chang Liu1, Diane Kewley-Port.   

Abstract

Formant discrimination for isolated vowels presented in noise was investigated for normal-hearing listeners. Discrimination thresholds for F1 and F2, for the seven American English vowels /i, I, epsilon, ae, [symbol see text], a, u/, were measured under two types of noise, long-term speech-shaped noise (LTSS) and multitalker babble, and also under quiet listening conditions. Signal-to-noise ratios (SNR) varied from -4 to +4 dB in steps of 2 dB. All three factors, formant frequency, signal-to-noise ratio, and noise type, had significant effects on vowel formant discrimination. Significant interactions among the three factors showed that threshold-frequency functions depended on SNR and noise type. The thresholds at the lowest levels of SNR were highly elevated by a factor of about 3 compared to those in quiet. The masking functions (threshold vs SNR) were well described by a negative exponential over F1 and F2 for both LTSS and babble noise. Speech-shaped noise was a slightly more effective masker than multitalker babble, presumably reflecting small benefits (1.5 dB) due to the temporal variation of the babble.

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Year:  2004        PMID: 15603157     DOI: 10.1121/1.1802671

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


  7 in total

1.  Predictions of formant-frequency discrimination in noise based on model auditory-nerve responses.

Authors:  Qing Tan; Laurel H Carney
Journal:  J Acoust Soc Am       Date:  2006-09       Impact factor: 1.840

2.  Neural representation of spectral and temporal information in speech.

Authors:  Eric D Young
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-03-12       Impact factor: 6.237

3.  Contribution of formant frequency information to vowel perception in steady-state noise by cochlear implant users.

Authors:  Elad Sagi; Mario A Svirsky
Journal:  J Acoust Soc Am       Date:  2017-02       Impact factor: 1.840

4.  Overreliance on auditory feedback may lead to sound/syllable repetitions: simulations of stuttering and fluency-inducing conditions with a neural model of speech production.

Authors:  Oren Civier; Stephen M Tasko; Frank H Guenther
Journal:  J Fluency Disord       Date:  2010-05-20       Impact factor: 2.538

5.  Brainstem correlates of concurrent speech identification in adverse listening conditions.

Authors:  Anusha Yellamsetty; Gavin M Bidelman
Journal:  Brain Res       Date:  2019-02-20       Impact factor: 3.252

6.  Effects of reverberation on brainstem representation of speech in musicians and non-musicians.

Authors:  Gavin M Bidelman; Ananthanarayan Krishnan
Journal:  Brain Res       Date:  2010-08-05       Impact factor: 3.252

7.  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

  7 in total

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