Literature DB >> 11681386

Individual differences in the processing of speech and nonspeech sounds by normal-hearing listeners.

A M Surprenant1, C S Watson.   

Abstract

While a large portion of the variance among listeners in speech recognition is associated with the audibility of components of the speech waveform, it is not possible to predict individual differences in the accuracy of speech processing strictly from the audiogram. This has suggested that some of the variance may be associated with individual differences in spectral or temporal resolving power, or acuity. Psychoacoustic measures of spectral-temporal acuity with nonspeech stimuli have been shown, however, to correlate only weakly (or not at all) with speech processing. In a replication and extension of an earlier study [Watson et al., J. Acoust. Soc. Am. Suppl. 1 71. S73 (1982)] 93 normal-hearing college students were tested on speech perception tasks (nonsense syllables, words, and sentences in a noise background) and on six spectral-temporal discrimination tasks using simple and complex nonspeech sounds. Factor analysis showed that the abilities that explain performance on the nonspeech tasks are quite distinct from those that account for performance on the speech tasks. Performance was significantly correlated among speech tasks and among nonspeech tasks. Either, (a) auditory spectral-temporal acuity for nonspeech sounds is orthogonal to speech processing abilities, or (b) the appropriate tasks or types of nonspeech stimuli that challenge the abilities required for speech recognition have yet to be identified.

Mesh:

Year:  2001        PMID: 11681386     DOI: 10.1121/1.1404973

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


  27 in total

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3.  Perceptual learning of spectrally degraded speech and environmental sounds.

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4.  Learning to perceptually organize speech signals in native fashion.

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5.  Individual differences reveal correlates of hidden hearing deficits.

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7.  Assessing the role of spectral and intensity cues in spectral ripple detection and discrimination in cochlear-implant users.

Authors:  Elizabeth S Anderson; Andrew J Oxenham; Peggy B Nelson; David A Nelson
Journal:  J Acoust Soc Am       Date:  2012-12       Impact factor: 1.840

8.  Psychoacoustic and phoneme identification measures in cochlear-implant and normal-hearing listeners.

Authors:  Ray L Goldsworthy; Lorraine A Delhorne; Louis D Braida; Charlotte M Reed
Journal:  Trends Amplif       Date:  2013-02-21

9.  Validation of a clinical assessment of spectral-ripple resolution for cochlear implant users.

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Journal:  Ear Hear       Date:  2014 May-Jun       Impact factor: 3.570

10.  Individual differences in online spoken word recognition: Implications for SLI.

Authors:  Bob McMurray; Vicki M Samelson; Sung Hee Lee; J Bruce Tomblin
Journal:  Cogn Psychol       Date:  2010-02       Impact factor: 3.468

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