Speaker change detection and speaker diarization using spatial information

In this paper, we present a novel speaker change detection and speaker diarization algorithm using spatial information in the form of features derived from estimated Room Impulse Response (RIR)s. A blind system identification approach is used to obtain an estimate of the RIRs, from which the C5 feature is derived and used in the labeling algorithm. Experimental results using 2 speakers for different locations within a fixed room show that our approach achieves a higher hit rate in the speaker change detection task and a lower variance in the diarization error rate when compared with a baseline algorithm.