Literature DB >> 26233005

A proposed mechanism for rapid adaptation to spectrally distorted speech.

Mahan Azadpour1, Evan Balaban1.   

Abstract

The mechanisms underlying perceptual adaptation to severely spectrally-distorted speech were studied by training participants to comprehend spectrally-rotated speech, which is obtained by inverting the speech spectrum. Spectral-rotation produces severe distortion confined to the spectral domain while preserving temporal trajectories. During five 1-hour training sessions, pairs of participants attempted to extract spoken messages from the spectrally-rotated speech of their training partner. Data on training-induced changes in comprehension of spectrally-rotated sentences and identification/discrimination of spectrally-rotated phonemes were used to evaluate the plausibility of three different classes of underlying perceptual mechanisms: (1) phonemic remapping (the formation of new phonemic categories that specifically incorporate spectrally-rotated acoustic information); (2) experience-dependent generation of a perceptual "inverse-transform" that compensates for spectral-rotation; and (3) changes in cue weighting (the identification of sets of acoustic cues least affected by spectral-rotation, followed by a rapid shift in perceptual emphasis to favour those cues, combined with the recruitment of the same type of "perceptual filling-in" mechanisms used to disambiguate speech-in-noise). Results exclusively support the third mechanism, which is the only one predicting that learning would specifically target temporally-dynamic cues that were transmitting phonetic information most stably in spite of spectral-distortion. No support was found for phonemic remapping or for inverse-transform generation.

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Year:  2015        PMID: 26233005     DOI: 10.1121/1.4922226

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


  2 in total

1.  Perceptual learning of degraded speech by minimizing prediction error.

Authors:  Ediz Sohoglu; Matthew H Davis
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-08       Impact factor: 11.205

2.  Does training with amplitude modulated tones affect tone-vocoded speech perception?

Authors:  Aina Casaponsa; Ediz Sohoglu; David R Moore; Christian Füllgrabe; Katharine Molloy; Sygal Amitay
Journal:  PLoS One       Date:  2019-12-27       Impact factor: 3.240

  2 in total

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