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arXiv · 1910.11646

Overlap-aware diarization: resegmentation using neural end-to-end overlapped speech detection

Latané Bullock·Hervé Bredin·Leibny Paola Garcia-Perera
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Abstract

We address the problem of effectively handling overlapping speech in a diarization system. First, we detail a neural Long Short-Term Memory-based architecture for overlap detection. Secondly, detected overlap regions are exploited in conjunction with a frame-level speaker posterior matrix to make two-speaker assignments for overlapped frames in the resegmentation step. The overlap detection module achieves state-of-the-art performance on the AMI, DIHARD, and ETAPE corpora. We apply overlap-aware resegmentation on AMI, resulting in a 20% relative DER reduction over the baseline system. While this approach is by no means an end-all solution to overlap-aware diarization, it reveals promising directions for handling overlap.

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Latané Bullock, Hervé Bredin, Leibny Paola Garcia-Perera. 2019-10-25. Overlap-aware diarization: resegmentation using neural end-to-end overlapped speech detection. https://arxiv.org/abs/1910.11646

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