Conference paper

ZEINALI Hossein, BURGET Lukáš, SAMETI Hossein and ČERNOCKÝ Jan. Spoken Pass-Phrase Verification in the i-vector Space. In: Proceedings of Odyssey 2018. Les Sables d´Olonne: International Speech Communication Association, 2018, pp. 372-377. ISSN 2312-2846.
Publication language:english
Original title:Spoken Pass-Phrase Verification in the i-vector Space
Title (cs):Ověřování vyřčené fráze v i-vektorovém prostoru
Proceedings:Proceedings of Odyssey 2018
Conference:Odyssey 2018
Place:Les Sables d´Olonne, FR
Journal:Proceedings of Odyssey: The Speaker and Language Recognition Workshop, Vol. 2018, No. 6, 4 Rue des Fauvettes - Lous Tourils, F-66390 BAIXAS, FR
Publisher:International Speech Communication Association
spoken pass-phrase verification, i-vector, speaker verification
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.
   author = {Hossein Zeinali and Luk{\'{a}}{\v{s}} Burget and
	Hossein Sameti and Jan {\v{C}}ernock{\'{y}}},
   title = {Spoken Pass-Phrase Verification in the i-vector
   pages = {372--377},
   booktitle = {Proceedings of Odyssey 2018},
   journal = {Proceedings of Odyssey: The Speaker and Language Recognition
   volume = 2018,
 number = 6,
   year = 2018,
   location = {Les Sables dOlonne, FR},
   publisher = {International Speech Communication Association},
   ISSN = {2312-2846},
   doi = {10.21437/Odyssey.2018-52},
   language = {english},
   url = {}

Your IPv4 address:
Switch to https