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Team

COGNITIVE ROBOTICS, INTERACTIVE SYSTEMS, & SPEECH PROCESSING
Team manager : Gérard BAILLYThomas HUEBER

 

CRISSP team conducts theoretical, experimental and technological researches in the field of speech communication. More precisely, we aim at: 

    • Modeling verbal and co-verbal speech signal in face-to-face interaction involving humans, virtual avatar (talking head) and humanoid robots.
    • Understanding the human speech production process by modeling relationships between speech articulation and speech acoustics.
    • Studying communication of people with hearing impairment.
    • Designing speech technologies for handicapped people, language learning, and multimedia.

 

 

 

The 3 research axis of the CRISSP team are:

    • Cognitive robotics: improve socio-communicative skills of humanoid robots. 
    • Interactive systems: design real-time/reactive communicative systems exploiting the different modalities of speech (audio, visual, gesture, etc.).
    • Speech processing: articulatory synthesis, acoustic-articulatory inversion, speech synthesis, voice conversion.

Domains of expertise of CRISSP team

    • Audio signal processing (analysis, coding, denoising, source separation)
    • Speech processing (analysis, transformation, conversion/morphing, text-to-speech synthesis, articulatory synthesis/inversion)
    • Statistical machine learning
    • Acquisition of multimodal articulatory data (using electromagnetic articulography, ultrasound imaging, MRI, EMG, etc.)
    • Acquisition of social signals (eye gaze, body posture, head movements, etc.) during face-to-face interaction

 

Team members

(updated 18/12/2015)

 

Contact : Gérard Bailly et Thomas Hueber (mail : firstname.lastname@gipsa-lab.fr)




Last publications of team

Assessing the Performances of different Neural Network Architectures for the Detection of Screams and Shouts in Public Transportation

Pierre Laffitte, Yun Wang, David Sodoyer, Laurent Girin. Assessing the Performances of different Neural Network Architectures for the Detection of Screams and Shouts in Public Transportation. Expert Systems With Applications, 2019, 117, pp29-41. 〈10.1016/j.eswa.2018.08.052〉. 〈hal-01892436〉

Handwriting Styles: Benchmarks and Evaluation Metrics

Omar Mohammed, Gérard Bailly, Damien Pellier. Handwriting Styles: Benchmarks and Evaluation Metrics. IEEE International Workshop on Deep and Transfer Learning, Oct 2018, Valencia, Spain. 〈hal-01900765〉

A variance modeling framework based on variational autoencoders for speech enhancement

Simon Leglaive, Laurent Girin, Radu Horaud. A variance modeling framework based on variational autoencoders for speech enhancement. MSLP 2018 - IEEE International Workshop on Machine Learning for Signal Processing, Sep 2018, Aalborg, Denmark. IEEE, pp.1-6, 2018. 〈hal-01832826〉


Voir toutes les publications de l'équipe dans HAL
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