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Titre : | The Recognition of Whispered Speech in Real-Time (2022) |
Auteurs : | Kristi Hendrickson ; Danielle Ernest |
Type de document : | Article |
Dans : | Ear and hearing (Vol.43, n°2, Mars-avril 2022) |
Article en page(s) : | p. 554-562 |
Langues: | Anglais |
Descripteurs : |
HE Vinci Intelligibilité de la parole ; Mouvement oculaire ; murmure ; Perception de la parole ; Reconnaissance des mots |
Résumé : |
Whispered speech offers a unique set of challenges to speech perception and word recognition. The goals of the present study were twofold: First, to determine how listeners recognize whispered speech. Second, to inform major theories of spoken word recognition by considering how recognition changes when major cues to phoneme identity are reduced or largely absent compared with normal voiced speech.
Design: Using eye tracking in the Visual World Paradigm, we examined how listeners recognize whispered speech. After hearing a target word (normal or whispered), participants selected the corresponding image from a display of four-a target (e.g., money), a word that shares sounds with the target at the beginning (cohort competitor, e.g., mother), a word that shares sounds with the target at the end (rhyme competitor, e.g., honey), and a phonologically unrelated word (e.g., whistle). Eye movements to each object were monitored to measure (1) how fast listeners process whispered speech, and (2) how strongly they consider lexical competitors (cohorts and rhymes) as the speech signal unfolds. |
Disponible en ligne : | Oui |
En ligne : | https://login.ezproxy.vinci.be/login?url=https://ovidsp.ovid.com/ovidweb.cgi?T=JS&CSC=Y&NEWS=N&PAGE=fulltext&D=yrovftx&AN=00003446-202203000-00027 |