Live speaker identification in conversations
MM '08 Proceedings of the 16th ACM international conference on Multimedia
A real-time speech enhancement framework for multi-party meetings
NOLISP'11 Proceedings of the 5th international conference on Advances in nonlinear speech processing
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Multimedia Tools and Applications
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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%.