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BUT System Description for DIHARD Speech Diarization Challenge 2019

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arxiv 1910.08847 v1 pith:7DE7WXET submitted 2019-10-19 eess.AS

BUT System Description for DIHARD Speech Diarization Challenge 2019

Federico Landini , Shuai Wang , Mireia Diez , Luk\'a\v{s} Burget , Pavel Mat\v{e}jka , Kate\v{r}ina \v{Z}mol\'ikov\'a , Ladislav Mo\v{s}ner , Old\v{r}ich Plchot
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Ond\v{r}ej Novotn\'y Hossein Zeinali Johan Rohdin
This is my paper
classification eess.AS
keywords systemstracksappliedchallengediarizationdihardfollowedlevel
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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This paper describes the 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 based on performing agglomerative hierarchical clustering (AHC) over x-vectors, followed by the Bayesian Hidden Markov Model (HMM) with eigenvoice priors applied at x-vector level followed by the same approach applied at frame level. For tracks 3 and 4, the systems were based on performing AHC using x-vectors extracted on all channels.

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