Previous research has repeatedly shown that the speaker’s voice or accent can influence word processing in various ways. For instance, words spoken by the same voice are better encoded and recognised. Additionally, a speaker’s voice or accent can be used proactively to predict forthcoming words. This research project aims to explore whether social and individual characteristics derived from speech, such as accent, language, and voice (often stereotype-mediated), are used to predict upcoming words. Several EEG measures will be employed to investigate the timing and neural underpinnings of interactions between speaker identity and predictive processes.
(i) To reveal the effect of voice-based cues and phonetic variation on language prediction and speech processing; (ii) To describe the neural underpinnings of the interactions between social features of the speaker and the online language interpretation; (iii) To reveal the degree of flexibility and adaptability of the speech processing system.
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Bridging Communication Gaps in Human and Human-AI Interactions: The Role of Accented Speech on Neurocognitive mechanisms and Social Dynamics