The 2006 athens information technology speech activity detection and speaker diarization systems

Authors:
Elias Rentzeperis;Andreas Stergiou;Christos Boukis;Aristodemos Pnevmatikakis;Lazaros C. Polymenakos
Affiliations:
Autonomic & Grid Computing Group, Athens Information Technology, Athens, Greece;Autonomic & Grid Computing Group, Athens Information Technology, Athens, Greece;Autonomic & Grid Computing Group, Athens Information Technology, Athens, Greece;Autonomic & Grid Computing Group, Athens Information Technology, Athens, Greece;Autonomic & Grid Computing Group, Athens Information Technology, Athens, Greece
Venue:
MLMI'06 Proceedings of the Third international conference on Machine Learning for Multimodal Interaction
Year:
2006

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Abstract

This paper describes the Speech Activity Detection (SAD) and Speaker Diarization (SPKR) systems that were developed by the Athens Information Technology in the scope of the NIST RT-06S evaluations. The SAD system performs classification of recorded frames into speech and non-speech, using Linear Discriminant Analysis (LDA), while the SPKR one initially segments recordings into speech intervals based on the Bayesian Information Criterion (BIC), and then applies a two-step clustering strategy to group segments from the same speaker together. Following a discussion of the intrinsics of the two systems, we report and comment on our results on the RT-06S corpus [20].