[논문] Integrating End-to-End Neural and Clustering-based Diarization: Getting the Best of Both Worlds
https://arxiv.org/abs/2010.13366 Integrating end-to-end neural and clustering-based diarization: Getting the best of both worlds Recent diarization technologies can be categorized into two approaches, i.e., clustering and end-to-end neural approaches, which have different pros and cons. The clustering-based approaches assign speaker labels to speech regions by clustering speaker emb arxiv.org 해당..
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