Literature DB >> 27596251

Speech perception adjusts to stable spectrotemporal properties of the listening environment.

Christian E Stilp1, Paul W Anderson2, Ashley A Assgari3, Gregory M Ellis4, Pavel Zahorik5.   

Abstract

When perceiving speech, listeners compensate for reverberation and stable spectral peaks in the speech signal. Despite natural listening conditions usually adding both reverberation and spectral coloration, these processes have only been studied separately. Reverberation smears spectral peaks across time, which is predicted to increase listeners' compensation for these peaks. This prediction was tested using sentences presented with or without a simulated reverberant sound field. All sentences had a stable spectral peak (added by amplifying frequencies matching the second formant frequency [F2] in the target vowel) before a test vowel varying from /i/ to /u/ in F2 and spectral envelope (tilt). In Experiment 1, listeners demonstrated increased compensation (larger decrease in F2 weights and larger increase in spectral tilt weights for identifying the target vowel) in reverberant speech than in nonreverberant speech. In Experiment 2, increased compensation was shown not to be due to reverberation tails. In Experiment 3, adding a pure tone to nonreverberant speech at the target vowel's F2 frequency increased compensation, revealing that these effects are not specific to reverberation. Results suggest that perceptual adjustment to stable spectral peaks in the listening environment is not affected by their source or cause.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Perceptual constancy; Reverberation; Spectral calibration; Speech perception

Mesh:

Year:  2016        PMID: 27596251      PMCID: PMC5086439          DOI: 10.1016/j.heares.2016.08.004

Source DB:  PubMed          Journal:  Hear Res        ISSN: 0378-5955            Impact factor:   3.208


  33 in total

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Authors:  Anthony J Watkins
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4.  Modest, reliable spectral peaks in preceding sounds influence vowel perception.

Authors:  Christian E Stilp; Paul W Anderson
Journal:  J Acoust Soc Am       Date:  2014-11       Impact factor: 1.840

5.  Prior listening exposure to a reverberant room improves open-set intelligibility of high-variability sentences.

Authors:  Nirmal Kumar Srinivasan; Pavel Zahorik
Journal:  J Acoust Soc Am       Date:  2013-01       Impact factor: 1.840

6.  Azimuth and envelope coding in the inferior colliculus of the unanesthetized rabbit: effect of reverberation and distance.

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7.  Modeling the perception of concurrent vowels: vowels with the same fundamental frequency.

Authors:  P F Assmann; Q Summerfield
Journal:  J Acoust Soc Am       Date:  1989-01       Impact factor: 1.840

8.  Efferent innervation of the organ of corti: two separate systems.

Authors:  W B Warr; J J Guinan
Journal:  Brain Res       Date:  1979-09-07       Impact factor: 3.252

9.  The modulation transfer function for speech intelligibility.

Authors:  Taffeta M Elliott; Frédéric E Theunissen
Journal:  PLoS Comput Biol       Date:  2009-03-06       Impact factor: 4.475

10.  The temporal effect with notched-noise maskers: analysis in terms of input-output functions.

Authors:  Elizabeth A Strickland
Journal:  J Acoust Soc Am       Date:  2004-05       Impact factor: 1.840

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  2 in total

1.  Perceptual weighting of acoustic cues for accommodating gender-related talker differences heard by listeners with normal hearing and with cochlear implants.

Authors:  Matthew B Winn; Ashley N Moore
Journal:  J Acoust Soc Am       Date:  2020-08       Impact factor: 1.840

2.  Encoding speech rate in challenging listening conditions: White noise and reverberation.

Authors:  Eva Reinisch; Hans Rutger Bosker
Journal:  Atten Percept Psychophys       Date:  2022-08-22       Impact factor: 2.157

  2 in total

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