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This project proposes to build computational models of social constructs that define the social behavior of individuals and groups in face to face ...

D-Box's main goal is to develop and test an innovative architecture for conversational agents whose purpose is to support multilingual collaboration between ...

Practical deployment of Machine Learning techniques relies on the existence of large training data sets, which exhibit all the difficulties to be met in ...

Speech-to-speech translation (S2ST) is the translation of spoken sentences from one language to another. S2ST is not a mature technology but a topic in the ...

Recent advances in statistical text to speech synthesis (TTS) have enabled voice personalisation via the adaptation techniques normally associated with ...

L’appel à projets REPERE est une campagne d’évaluation des systèmes de reconnaissance des personnes présentes dans des émissions audiovisuelles en français. ...

Current state-of-the-art automatic speech recognition (ASR) systems commonly use hidden Markov models (HMMs), where phonemes (phones) are assumed to be the ...

While academics in archaeology and epigraphy have made formidable efforts over 100 years to decipher the writings of the Ancient Maya culture, located in a ...

large-scale image collections. We are investigating a query-free retrieval approach, which relies solely on an iterative relevance feedback mechanism driven by ...

The AROLES project aims at transferring scientific know-how in the domains of audio-visual processing and multimedia retrieval from the IM2 NCCR to the Klewel ...