Processing of non-contrastive subphonemic features in French homophonous utterances: An MMN study - Archive ouverte HAL
Article Dans Une Revue Journal of Neurolinguistics Année : 2019

Processing of non-contrastive subphonemic features in French homophonous utterances: An MMN study

Résumé

Native listeners process and understand homophones, such as la locution ‘the phrase’ vs. l'allocution ‘the speech’, both [lalɔkysjɔ̃], without much semantical ambiguity in connected speech. Yet, behavioral experiments show that disambiguation is partial under intra-speaker variability without semantical context. To investigate electrophysiological correlates of perception of non-contrastive subphonemic features in French homophonous sequences, we examined the event-related potential Mismatch Negativity (MMN) using a multitoken stimuli oddball paradigm. Stimuli were taken from multiple natural productions of nominal homophonous utterances. In the first experiment, we used the first syllables, while in the second experiment, the whole utterances.The homophonous sequence elicited an MMN response in both experiments. This suggests that non-contrastive acoustic features that differentiate homophones, such as pitch and duration, are robust enough despite intra-speaker variability to allow listeners to automatically extract regularities associated with each utterance. This ability of the perception system might contribute to correct segmentation and comprehension of ambiguous utterances.
Fichier principal
Vignette du fichier
S091160441830160X.pdf (5.84 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-02433647 , version 1 (25-10-2021)

Licence

Identifiants

Citer

Noelia Do Carmo Blanco, Michel Hoen, Stéphane Pota, Elsa Spinelli, Fanny Meunier. Processing of non-contrastive subphonemic features in French homophonous utterances: An MMN study. Journal of Neurolinguistics, 2019, 52, pp.100849. ⟨10.1016/j.jneuroling.2019.05.001⟩. ⟨hal-02433647⟩
85 Consultations
45 Téléchargements

Altmetric

Partager

More