BUT VOiCES 2019 System Description

arxiv: 1907.06112 · v1 · pith:6TM3X3ILnew · submitted 2019-07-13 · 📡 eess.AS · cs.CL· cs.SD

BUT VOiCES 2019 System Description

Hossein Zeinali , Pavel Mat\v{e}jka , Ladislav Mo\v{s}ner , Old\v{r}ich Plchot , Anna Silnova , Ond\v{r}ej Novotn\'y , J\'an Profant , Ond\v{r}ej Glembek

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Luk\'a\v{s} Burget

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classification 📡 eess.AS cs.CLcs.SD

keywords conditionsystemsystemsdescriptionimprovementopenrelativevoices

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This is a description of our effort in VOiCES 2019 Speaker Recognition challenge. All systems in the fixed condition are based on the x-vector paradigm with different features and DNN topologies. The single best system reaches 1.2% EER and a fusion of 3 systems yields 1.0% EER, which is 15% relative improvement. The open condition allowed us to use external data which we did for the PLDA adaptation and achieved less than ~10% relative improvement. In the submission to open condition, we used 3 x-vector systems and also one i-vector based system.

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BUT VOiCES 2019 System Description

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