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Found 2 papers, 2 papers with code
Probabilistic Back-ends for Online Speaker Recognition and Clustering
This paper focuses on multi-enrollment speaker recognition which naturally occurs in the task of online speaker clustering, and studies the properties of different scoring back-ends in this scenario.
Magnitude-aware Probabilistic Speaker Embeddings
We propose a new probabilistic speaker embedding extractor using the information encoded in the embedding magnitude and leverage it in the speaker verification pipeline.
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