Result Details
BUT System Description to SdSV Challenge 2020
Glembek Ondřej, Ing., Ph.D., DCGM (FIT)
Lozano Díez Alicia, Ph.D., DCGM (FIT)
Matějka Pavel, Ing., Ph.D., DCGM (FIT)
Novotný Ondřej, Ing., Ph.D., DCGM (FIT)
Plchot Oldřich, Ing., Ph.D., DCGM (FIT)
Pulugundla Bhargav, M.Sc., DCGM (FIT)
Rohdin Johan Andréas, M.Sc., Ph.D., FIT (FIT), DCGM (FIT)
Silnova Anna, M.Sc., Ph.D., DCGM (FIT)
Veselý Karel, Ing., Ph.D., DCGM (FIT)
In this report, we describe the submission of Brno Universityof Technology (BUT) team to the Short Duration Speaker Verification(SdSV) Challenge 2020. For the text-dependent task,our primary submission consists of a simple linear logistic regressionscore level fusion of different i-vector and x-vectorbased systems. Our i-vector systems are based on concatenatedMFCC and bottleneck features. For both types of embeddings,we use PLDA backends, showing the success of phrasedependenttraining of PLDA and its combination with a Gaussianlinear classifier phrase recognizer. For the task of textindependentspeaker verification, we combine three different xvectorsystems based on TDNN and ResNet architectures.
short duration speaker verification, phrasedependentPLDA, phrase recognizer, x-vector, TDNN, ResNet
@inproceedings{BUT171000,
author="Lukáš {Burget} and Ondřej {Glembek} and Alicia {Lozano Díez} and Pavel {Matějka} and Ondřej {Novotný} and Oldřich {Plchot} and Bhargav {Pulugundla} and Johan Andréas {Rohdin} and Anna {Silnova} and Karel {Veselý}",
title="BUT System Description to SdSV Challenge 2020",
booktitle="Proceedings of Short-duration Speaker Verification Challenge 2020 Workshop",
year="2020",
pages="1--5",
address="Shanghai, on-line event of Interspeech 2020 Conference",
url="https://sdsvc.github.io/2020/descriptions/Team56_Both.pdf"
}
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