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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July 2015
July 02 2015
A proposed mechanism for rapid adaptation to spectrally distorted speech
Mahan Azadpour;
Mahan Azadpour
a)
Cognitive Neuroscience Sector,
SISSA (International School for Advanced Studies)
, Via Beirut 2-4, Trieste, Italy
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Evan Balaban
Evan Balaban
b)
Cognitive Neuroscience Sector,
SISSA (International School for Advanced Studies)
, Via Beirut 2-4, Trieste, Italy
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a)
Current address: Department of Otolaryngology, New York University School of Medicine, New York, NY, USA. Electronic mail: Mahan.Azadpour@nyumc.org
b)
Current address: Behavioral Neurosciences Program, McGill University, Montreal, Canada.
J. Acoust. Soc. Am. 138, 44–57 (2015)
Article history
Received:
July 03 2014
Accepted:
May 27 2015
Citation
Mahan Azadpour, Evan Balaban; A proposed mechanism for rapid adaptation to spectrally distorted speech. J. Acoust. Soc. Am. 1 July 2015; 138 (1): 44–57. https://doi.org/10.1121/1.4922226
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