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This study investigates robust speaker localization for con-tinuous speechseparation and speaker diarization, where we use speaker directions to groupnon-contiguous segments of the same speaker. Assuming that speakers do not moveand are located in different directions, the direction of arrival (DOA)information provides an informative cue for accurate sequential grouping andspeaker diarization. Our system is block-online in the following sense. Given ablock of frames with at most two speakers, we apply a two-speaker separa-tionmodel to separate (and enhance) the speakers, estimate the DOA of eachseparated speaker, and group the separation results across blocks based on theDOA estimates. Speaker diarization and speaker-attributed speech recognitionresults on the LibriCSS corpus demonstrate the effectiveness of the proposedalgorithm.

Localization Based Sequential Grouping for Continuous Speech Separation