Speech technologies for augmented communication
Résumé
We introduce here an emerging technological and scientific field. Augmented speech communication (ASC) aims at supplementing human-human communication with enhanced or additional modalities. ASC improves human-human communication by exploiting a priori knowledge on multimodal coherence of speech signals, user/listener voice characteristics or more general linguistic and phonological structure on the spoken language or vocabulary being exchanged. The nature of this a priori knowledge, the quantitative models that implement it and their capabilities to enhance the available input signals influence the precision and robustness of the perceived signals. After a general overview of the possible input signals characterizing speech production activity and available technologies for mapping these various speech representation between each other, three ASC systems developed at GIPSA-Lab are described in detail. Preliminary results of the evaluation of these three systems will be given and commented. A discussion on scientific and technological challenges and limitations of ASC concludes the chapter.
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