Auditory Classification Images: A Psychophysical Paradigm to Explore Listening Strategies in Phoneme Perception
Résumé
The identification of the exact acoustic cues that listeners use when categorizing phonemes still constitutes an open question for research on speech perception. In this talk, we present a psychoacoustic reverse-correlation approach allowing direct investigation of individual listening strategies in phoneme perception. The Auditory Classification Image technique relies on a penalized Generalized Linear Model to link categorization errors in a speech-in-noise comprehension task with the corresponding distribution of the noise, on a trial-by-trial basis. We will also discuss recent improvements of the method designed to reduce the duration of the experiment.
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