Skip to Main content Skip to Navigation
Poster communications

Auditory Classification Images: A Psychophysical Paradigm to Explore Listening Strategies in Phoneme Perception

Abstract : 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.
Document type :
Poster communications
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-03553449
Contributor : Léo Varnet Connect in order to contact the contributor
Submitted on : Wednesday, February 2, 2022 - 6:05:38 PM
Last modification on : Thursday, March 17, 2022 - 10:08:46 AM

Attachments

Identifiers

  • HAL Id : hal-03553449, version 1

Collections

Citation

Léo Varnet, Alejandro Vecchi Osses. Auditory Classification Images: A Psychophysical Paradigm to Explore Listening Strategies in Phoneme Perception. ARO 2022, Feb 2022, Online, United States. ⟨hal-03553449⟩

Share

Metrics

Record views

50

Files downloads

7