Literature DB >> 28964094

Speech intelligibility is best predicted by intensity, not cochlea-scaled entropy.

Andrew J Oxenham1, Jeffrey E Boucher1, Heather A Kreft1.   

Abstract

Cochlea-scaled entropy (CSE) is a measure of spectro-temporal change that has been reported to predict the contribution of speech segments to overall intelligibility. This paper confirms that CSE is highly correlated with intensity, making it impossible to determine empirically whether it is CSE or simply intensity that determines speech importance. A more perceptually relevant version of CSE that uses dB-scaled differences, rather than differences in linear amplitude, failed to predict speech intelligibility. Overall, a parsimonious account of the available data is that the importance of speech segments to overall intelligibility is best predicted by their relative intensity, not by CSE.

Mesh:

Year:  2017        PMID: 28964094      PMCID: PMC5724627          DOI: 10.1121/1.5002149

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


  11 in total

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Authors:  B R Glasberg; B C Moore
Journal:  Hear Res       Date:  1990-08-01       Impact factor: 3.208

2.  Cochlea-scaled entropy, not consonants, vowels, or time, best predicts speech intelligibility.

Authors:  Christian E Stilp; Keith R Kluender
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-21       Impact factor: 11.205

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Journal:  J Acoust Soc Am       Date:  1975-02       Impact factor: 1.840

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Authors:  Fei Chen; Philipos C Loizou
Journal:  J Acoust Soc Am       Date:  2012-05       Impact factor: 1.840

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Authors:  K S Helfer
Journal:  J Speech Lang Hear Res       Date:  1997-04       Impact factor: 2.297

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Authors:  Yilai Shu; Xiao-Xing Feng; Fei Chen
Journal:  J Acoust Soc Am       Date:  2016-12       Impact factor: 1.840

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Authors:  Richard L Freyman; Amanda M Griffin; Andrew J Oxenham
Journal:  J Acoust Soc Am       Date:  2012-10       Impact factor: 1.840

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Authors:  G A Studebaker
Journal:  J Speech Hear Res       Date:  1985-09

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Authors:  R D Patterson; I Nimmo-Smith; D L Weber; R Milroy
Journal:  J Acoust Soc Am       Date:  1982-12       Impact factor: 1.840

10.  Development and validation of the AzBio sentence lists.

Authors:  Anthony J Spahr; Michael F Dorman; Leonid M Litvak; Susan Van Wie; Rene H Gifford; Philipos C Loizou; Louise M Loiselle; Tyler Oakes; Sarah Cook
Journal:  Ear Hear       Date:  2012 Jan-Feb       Impact factor: 3.570

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  5 in total

1.  Spectro-temporal weighting of interaural time differences in speech.

Authors:  Lucas S Baltzell; Adrian Y Cho; Jayaganesh Swaminathan; Virginia Best
Journal:  J Acoust Soc Am       Date:  2020-06       Impact factor: 1.840

2.  Glimpsing speech interrupted by speech-modulated noise.

Authors:  Rachel E Miller; Bobby E Gibbs; Daniel Fogerty
Journal:  J Acoust Soc Am       Date:  2018-05       Impact factor: 1.840

3.  Single-Channel Focused Thresholds Relate to Vowel Identification in Pediatric and Adult Cochlear Implant Listeners.

Authors:  Meisam K Arjmandi; Kelly N Jahn; Julie G Arenberg
Journal:  Trends Hear       Date:  2022 Jan-Dec       Impact factor: 3.496

4.  Modeling Pitch Perception With an Active Auditory Model Extended by Octopus Cells.

Authors:  Tamas Harczos; Frank Markus Klefenz
Journal:  Front Neurosci       Date:  2018-09-25       Impact factor: 4.677

5.  A speech envelope landmark for syllable encoding in human superior temporal gyrus.

Authors:  Yulia Oganian; Edward F Chang
Journal:  Sci Adv       Date:  2019-11-20       Impact factor: 14.136

  5 in total

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