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The Time Course of Audio-Visual Phoneme Identification: a High Temporal Resolution Study

Abstract : Speech unfolds in time and, as a consequence, its perception requires temporal integration. Yet, studies addressing audio-visual speech processing have often overlooked this temporal aspect. Here, we address the temporal course of audio-visual speech processing in a phoneme identification task using a Gating paradigm. We created disyllabic Spanish word-like utterances (e.g., /pafa/, /paθa/, …) from high-speed camera recordings. The stimuli differed only in the middle consonant (/f/, /θ/, /s/, /r/, /g/), which varied in visual and auditory saliency. As in classical Gating tasks, the utterances were presented in fragments of increasing length (gates), here in 10 ms steps, for identification and confidence ratings. We measured correct identification as a function of time (at each gate) for each critical consonant in audio, visual and audio-visual conditions, and computed the Identification Point and Recognition Point scores. The results revealed that audio-visual identification is a time-varying process that depends on the relative strength of each modality (i.e., saliency). In some cases, audio-visual identification followed the pattern of one dominant modality (either A or V), when that modality was very salient. In other cases, both modalities contributed to identification, hence resulting in audio-visual advantage or interference with respect to unimodal conditions. Both unimodal dominance and audio-visual interaction patterns may arise within the course of identification of the same utterance, at different times. The outcome of this study suggests that audio-visual speech integration models should take into account the time-varying nature of visual and auditory saliency.
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https://hal.archives-ouvertes.fr/hal-01983487
Contributor : Sonia Kandel Connect in order to contact the contributor
Submitted on : Wednesday, January 16, 2019 - 2:42:07 PM
Last modification on : Wednesday, November 3, 2021 - 5:10:23 AM

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Carolina Sánchez-García, Sonia Kandel, Christophe Savariaux, Salvador Soto-Faraco. The Time Course of Audio-Visual Phoneme Identification: a High Temporal Resolution Study. Multisensory Research, Brill, 2018, 31 (1-2), pp.57-78. ⟨10.1163/22134808-00002560⟩. ⟨hal-01983487⟩

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