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].
['Elias Rentzeperis', 'Andreas Stergiou', 'Christos Boukis', 'Aristodemos Pnevmatikakis', 'Lazaros Polymenakos']
The 2006 athens information technology speech activity detection and speaker diarization systems