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ZEINALI, H. BURGET, L. SAMETI, H. ČERNOCKÝ, J.
Original Title
Spoken Pass-Phrase Verification in the i-vector Space
Type
conference paper
Language
English
Original Abstract
The task of spoken pass-phrase verification is to decide whether a test utterance contains the same phrase as given enrollment utterances. Beside other applications, pass-phrase verification can complement an independent speaker verification subsystem in text-dependent speaker verification. It can also be used for liveness detection by verifying that the user is able to correctly respond to a randomly prompted phrase. In this paper, we build on our previous work on i-vector based text-dependent speaker verification, where we have shown that i-vectors extracted using phrase specific Hidden Markov Models (HMMs) or using Deep Neural Network (DNN) based bottle-neck (BN) features help to reject utterances with wrong pass-phrases. We apply the same i-vector extraction techniques to the stand-alone task of speakerindependent spoken pass-phrase classification and verification. The experiments on RSR2015 and RedDots databases show that very simple scoring techniques (e.g. cosine distance scoring) applied to such i-vectors can provide results superior to those previously published on the same data.
Keywords
spoken pass-phrase verification, i-vector, speaker verification
Authors
ZEINALI, H.; BURGET, L.; SAMETI, H.; ČERNOCKÝ, J.
Released
26. 6. 2018
Publisher
International Speech Communication Association
Location
Les Sables d´Olonne
ISBN
2312-2846
Periodical
Proceedings of Odyssey: The Speaker and Language Recognition Workshop Odyssey 2014, Joensuu, Finland
Year of study
2018
Number
6
State
Republic of Finland
Pages from
372
Pages to
377
Pages count
URL
https://www.fit.vut.cz/research/publication/11791/
BibTex
@inproceedings{BUT155079, author="Hossein {Zeinali} and Lukáš {Burget} and Hossein {Sameti} and Jan {Černocký}", title="Spoken Pass-Phrase Verification in the i-vector Space", booktitle="Proceedings of Odyssey 2018", year="2018", journal="Proceedings of Odyssey: The Speaker and Language Recognition Workshop Odyssey 2014, Joensuu, Finland", volume="2018", number="6", pages="372--377", publisher="International Speech Communication Association", address="Les Sables d´Olonne", doi="10.21437/Odyssey.2018-52", issn="2312-2846", url="https://www.fit.vut.cz/research/publication/11791/" }