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Found 2 papers, 2 papers with code
Overlap-aware low-latency online speaker diarization based on end-to-end local segmentation
We propose to address online speaker diarization as a combination of incremental clustering and local diarization applied to a rolling buffer updated every 500ms.
A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification
Despite the growing popularity of metric learning approaches, very little work has attempted to perform a fair comparison of these techniques for speaker verification.
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