CONF bourlard:langtech:2008/IDIAP Recognition and Understanding of Meetings Overview of the European AMI and AMIDA Projects Bourlard, Hervé Renals, Steve EXTERNAL https://publications.idiap.ch/attachments/papers/2008/bourlard-langtech-2008.pdf PUBLIC https://publications.idiap.ch/index.php/publications/showcite/bourlard:rr08-27 Related documents LangTech 2008 2008 Rome February 2008 IDIAP-RR 08-27 The AMI and AMIDA projects are concerned with the recognition and interpretation of multiparty (face-to-face and remote) meetings. Within these projects we have developed the following: (1) an infrastructure for recording meetings using multiple microphones and cameras; (2) a one hundred hour, manually annotated meeting corpus; (3) a number of techniques for indexing, and summarizing of meeting videos using automatic speech recognition and computer vision, and (4) a extensible framework for browsing, and searching of meeting videos. We give an overview of the various techniques developed in AMI (mainly involving face-to-face meetings,',','), their integration into our meeting browser framework, and future plans for AMIDA (Augmented Multiparty Interaction with Distant Access,',','), the follow-up project to AMI. Technical and business information related to these two projects can be found at www.amiproject.org, respectively on the Scientific and Business portals. REPORT bourlard:rr08-27/IDIAP Recognition and Understanding of Meetings Overview of the European AMI and AMIDA Projects Bourlard, Hervé Renals, Steve EXTERNAL https://publications.idiap.ch/attachments/reports/2008/bourlard-idiap-rr-08-27.pdf PUBLIC Idiap-RR-27-2008 2008 IDIAP The AMI and AMIDA projects are concerned with the recognition and interpretation of multiparty (face-to-face and remote) meetings. Within these projects we have developed the following: (1) an infrastructure for recording meetings using multiple microphones and cameras; (2) a one hundred hour, manually annotated meeting corpus; (3) a number of techniques for indexing, and summarizing of meeting videos using automatic speech recognition and computer vision, and (4) a extensible framework for browsing, and searching of meeting videos. We give an overview of the various techniques developed in AMI (mainly involving face-to-face meetings,',','), their integration into our meeting browser framework, and future plans for AMIDA (Augmented Multiparty Interaction with Distant Access,',','), the follow-up project to AMI. Technical and business information related to these two projects can be found at www.amiproject.org, respectively on the Scientific and Business portals.