| | This class can 'train' new speaker clusters. One could call determining the clusters training because the phone (SIL) training procedures are used. But in fact, training is done on the target data (not on a training set), so it is not really training but processing. See our Spring 2006 NIST Rich Transcription Speaker Diarization paper for more information. This is ment to be the most simple form of the HMM-based merging diarization method. Overloaded classes may be created for testing new algorithms. More...
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