2 tenured associate professor positions opened

  • ENSSAT/Université de Rennes 1, Lannion. Speech processing, natural language processing, and expressive speech synthesis.
    More details here.
  • UFR-SSI/Université de Bretagne-Sud, Vannes. Expressive gesture analysis and synthesis, interactive multimedia application.
    More details here.



  • 27/02/2015 – Gwénolé Lecorvé, Adaptive statistical utterance phonetization for French


  • 30/01/2015 – Damien Lolive, Phorevox platform for written French learning using speech technologies (demo session)
  • 30/01/2015 – David Guennec, Improving cost functions for corpus-based text-to-speech
  • 12/09/2014 – Ioana Suciu, Expressive text-to-speech and knowledge engineering
  • 06/02/2014 – Raheel Qader, Multidocument summarization


EXPRESSION focuses on studying human language data conveyed by different media: gesture, speech and text. Such data exhibit an intrinsic complexity characterized by the intrication of multidimensional and sequential features. Furthermore, these features may not belong to the same representation levels, basically, some features may be symbolic (e.g., words, phonemes, etc.) whereas others are digital (e.g., positions, angles, sound samples) and sequentiality may result from temporality (e.g., signals).

Within this complexity, human language data embed latent structural patterns on which meaning is constructed and from which expressiveness and communication arise. Apprehending this expressiveness, and more generally variability, in multidimensional time series, sequential data and linguistic structures is the main proposed agenda of \team. This main purpose comes to study problems for representing and characterizing heterogeneity, variability and expressivity, especially for pattern identification and categorization.

Research directions

The proposed research project targets the exploration and (re)characterization of data processing models in three contexts:

Related documents


EXPRESSION team is spread over 3 cities: Vannes, Lannion and Lorient.