A Study of the Cosine Distance-Based Mean Shift for Telephone Speech Diarization
Mohammed El Amine Senoussaoui, Patrick J Kenny, Themos Stafylakis, Pierre Dumouchel · IEEE/ACM Transactions on Audio Speech and Language Processing · 2013
Speaker clustering is a crucial step for speaker diarization. The short duration of speech segments in telephone speech dialogue and the absence of prior information on the number of clusters dramatically increase the difficulty of this problem in diarizing spontaneous telephone speech conversations. We propose a simple iterative Mean Shift algorithm based on the cosine distance to perform speaker clustering under these conditions. Two variants of the cosine distance Mean Shift are compared in an exhaustive practical study. We report state of the art results as measured by the Diarization Error Rate and the Number of Detected Speakers on the LDC CallHome telephone corpus.