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2008 IEEE International Conference on Semantic Computing
Towards Semantic Analysis of Conversations: A System for the Live Identification of Speakers in Meetings
August 04-August 07
ISBN: 978-0-7695-3279-0
In the following article we present an application that enables online identification of who is currently speaking using a single far-field microphone in a meeting scenario. By leveraging techniques from both the field of speaker identification and speaker diarization, the system is able to recognize the current speaker after any two seconds of speech. An evaluation of the robustness of the algorithm using the AMI Meeting Corpus and the NIST Speaker Di- arization Development set resulted in a Diarization Error Rate of 12.67%.
Index Terms:
speaker, diarization, identification, meetings, online, realtime
Citation:
Oriol Vinyals, Gerald Friedland, "Towards Semantic Analysis of Conversations: A System for the Live Identification of Speakers in Meetings," icsc, pp.426-431, 2008 IEEE International Conference on Semantic Computing, 2008
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