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Meeting Recognition and Understanding


Andreas Stolcke
Elizabeth Shriberg
Dimitra Vergyri
Gokhan Tur


SRI is carrying out reseach and development of techniques that allow the accurate automatic transcription and higher-level processing of multi-party meetings. Our main focus in this area is on speech recognition for meetings, and in the use of prosody for extracting beyond-the-words information, such as sentence boundaries, dialog acts, and emotions ("hot spots"). This work is currently supported by several projects:

CALO Meeting Assistant

The CALO Meeting Assistant is part of the larger Cognitive Assistant that Learns and Organizes project, and aims to construct an interactive agent that provides online and offline assistance to meeting participants. This is a team effort with groups from CMU, GA Tech, MIT, OHSU, Stanford CSLI, and U. Washington. The SRI STAR Lab's main contributions are in meeting recognition and dialog act segmentation and tagging.

Speech Processing for Meetings (with ICSI)

A long-term collaboration with the speech group at International Computer Science Institute has investigated many aspects of automatic meeting processing, from data collection to extraction of "hot spots", or regions of high participant involvement. This work is funded by a variety of sources, including a National Science Foundation ITR grant with ICSI, Columbia University, and the University of Washington on "Mapping Meetings", and the European AMI and IM2 projects. As part of this collaboration we are also regular participants in the NIST Rich Transcription Spring evaluations, which have focussed on meeting diarization and recognition.

Representative Publications


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Last modified Nov 23, 2011