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- W4287864257 abstract "This paper describes the winning systems developed by the BUT team for the four tracks of the Second DIHARD Speech Diarization Challenge. For tracks 1 and 2 the systems were mainly based on performing agglomerative hierarchical clustering (AHC) of x-vectors, followed by another x-vector clustering based on Bayes hidden Markov model and variational Bayes inference. We provide a comparison of the improvement given by each step and share the implementation of the core of the system. For tracks 3 and 4 with recordings from the Fifth CHiME Challenge, we explored different approaches for doing multi-channel diarization and our best performance was obtained when applying AHC on the fusion of per channel probabilistic linear discriminant analysis scores." @default.
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- W4287864257 date "2020-02-26" @default.
- W4287864257 modified "2023-10-01" @default.
- W4287864257 title "BUT System for the Second DIHARD Speech Diarization Challenge" @default.
- W4287864257 doi "https://doi.org/10.48550/arxiv.2002.11356" @default.
- W4287864257 hasPublicationYear "2020" @default.
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