The paper presents a comprehensive overview of existing data for the evaluation of spoken content processing in a multimedia framework for the French language. We focus on the ETAPE corpus which will be made publicly available by ELDA mid 2012, after completion of the evaluation campaign, and recall existing resources resulting from previous evaluation campaigns. The ETAPE corpus consists of 30 hours of TV and radio broadcasts, selected to cover a wide variety of topics and speaking styles, emphasizing spontaneous speech and multiple speaker areas.

This paper aims at giving an overview of ELRA’s recent activities. The first part elaborates on ELRA’s means of boosting the sharing Language Resources (LRs) within the HLT community through its catalogues, LRE-Map initiative, as well as its work towards the integration of its LRs within the META-SHARE open infrastructure. The second part shows how ELRA helps in the development and evaluation of HLT, in particular through its numerous participations to collaborative projects for the production of resources and platforms to facilitate their production and exploitation. A third part focuses on ELRA’s work for clearing IPR issues in a HLT-oriented context, one of its latest initiative being its involvement in a Fair Research Act proposal to promote the easy access to LRs to the widest community. Finally, the last part elaborates on recent actions for disseminating information and promoting cooperation in the field, e.g. an the Language Library being launched at LREC2012 and the creation of an International Standard LR Number, a LR unique identifier to enable the accurate identification of LRs. Among the other messages ELRA will be conveying the attendees are the announcement of a set of freely available resources, the establishment of a LR and Evaluation forum, etc.

The REPERE Challenge aims to support research on people recognition in multimodal conditions. To assess the technology progression, annual evaluation campaigns will be organized from 2012 to 2014. In this context, the REPERE corpus, a French videos corpus with multimodal annotation, has been developed. This paper presents datasets collected for the dry run test that took place at the beginning of 2012. Specific annotation tools and guidelines are mainly described. At the time being, 6 hours of data have been collected and annotated. Last section presents analyses of annotation distribution and interaction between modalities in the corpus.