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The CRISSP research team carries out fundamental and applied research in the field of automatic speech processing and social robotics.
In particular, we aim to :
- capture, analyze and model the various verbal and co-verbal signals involved in a communicative interaction situation.
- enhance the socio-communicative capabilities of humanoid robots
- develop voice technologies that exploit the multimodal characteristics of speech (sound, vision, gestures), in particular to help people with disabilities (voice substitution, speech rehabilitation systems, communication aids for the hearing-impaired, reading aids).
- to better understand, through modeling and simulation, some of the processes involved in speech and language acquisition, perception and control.
The main research themes of the CRISSP team are :
- Text-based speech synthesis, with a focus on expressivity, reactivity (incremental TTS synthesis), prosody modeling, audiovisual synthesis (avatar) and gesture control.
- Human-robot interaction: analysis, modeling and generation of verbal and co-verbal signals (e.g. gaze, head movements)
- Acoustic-articulatory modeling (inversion, synthesis, silent speech interface, biofeedback)
- Automatic processing of gesture-based language, with a focus on Cued-speech.
The team is involved in 3 chairs of the Grenoble-based 3IA artificial intelligence institute MIAI.
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