Talk @Chalmers: Eliciting information from speech signals: Linguistics, signal processing, and machine learning.

Abstract: Listeners during an interaction can elicit multimodal linguistic and social information about a typical or atypical speaker, such as information about her/his gender, age, place of origin, social class, emotional state, and behaviour. The process of information extraction and classification takes place on the spot and involves the decomposition and classification of complex, heterogeneous, and multimodal parameters from the audiovisual channel.

In this talk, I will be discussing approaches from linguistics, signal processing, and machine learning for the quantification and understanding of linguistic and social information encoded in the speech signals of utterances produced in controlled experimental settings. The potential applications of this research in personalised discourse systems, in speaker identification, and as diagnostic tools of atypical speech productions, such as aphasic speech, are also discussed.

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