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"
}