Publication Details
BUT Text-Dependent Speaker Verification System for SdSV Challenge 2020
Silnova Anna, M.Sc., Ph.D. (DCGM)
Pulugundla Bhargav, M.Sc.
Rohdin Johan Andréas, M.Sc., Ph.D. (DCGM)
Veselý Karel, Ing., Ph.D. (DCGM)
Burget Lukáš, doc. Ing., Ph.D. (DCGM)
Plchot Oldřich, Ing., Ph.D. (DCGM)
Glembek Ondřej, Ing., Ph.D.
Novotný Ondřej, Ing., Ph.D.
Matějka Pavel, Ing., Ph.D. (DCGM)
text-dependent speaker verification, phrasedependent PLDA, phrase recognizer
In this paper, we present the winning BUT submission for the text-dependent task
of the SdSV challenge 2020. Given the large amount of training data available in
this challenge, we explore successful techniques from text-independent systems in
the text-dependent scenario. In particular, we trained x-vector extractors on
both in-domain and out-of-domain datasets and combine them with i-vectors trained
on concatenated MFCCs and bottleneck features, which have proven effective for
the text-dependent scenario. Moreover, we proposed the use of phrase-dependent
PLDA backend for scoring and its combination with a simple phrase recognizer,
which brings up to 63% relative improvement on our development set with respect
to using standard PLDA. Finally, we combine our different i-vector and x-vector
based systems using a simple linear logistic regression score level fusion, which
provides 28% relative improvement on the evaluation set with respect to our best
single system.
@inproceedings{BUT168145,
author="Alicia {Lozano Díez} and Anna {Silnova} and Bhargav {Pulugundla} and Johan Andréas {Rohdin} and Karel {Veselý} and Lukáš {Burget} and Oldřich {Plchot} and Ondřej {Glembek} and Ondřej {Novotný} and Pavel {Matějka}",
title="BUT Text-Dependent Speaker Verification System for SdSV Challenge 2020",
booktitle="Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH",
year="2020",
journal="Proceedings of Interspeech",
volume="2020",
number="10",
pages="761--765",
publisher="International Speech Communication Association",
address="Shanghai",
doi="10.21437/Interspeech.2020-2882",
issn="1990-9772",
url="https://www.isca-speech.org/archive/Interspeech_2020/pdfs/2882.pdf"
}