Our paradigm thus follows historical practice in the Switchboard domain, where the goal is typically the off-line processing (e.g., automatic transcription, speaker identification, indexing, archival) of entire previously recorded conversations.
the HMM formulation used here also supports computing posterior DA probabilities based on partial evidence, e.g., using only the utterances preceding the current one, as would be required for on-line processing.