Utterance Verification for Text-Dependent Speaker Recognition: A Comparative Assessment Using the RedDots Corpus

Tomi Kinnunen; Md Sahidullah; Ivan Kukanov; Hector Delgado; Massimiliano Todisco; Achintya Kumar Sarkar; Nicolai Bæk Thomsen; Ville Hautamaki; Nicholas Evans; Zheng-Hua Tan

doi:10.21437/Interspeech.2016-1125

Utterance Verification for Text-Dependent Speaker Recognition: A Comparative Assessment Using the RedDots Corpus

Tomi Kinnunen, Md Sahidullah, Ivan Kukanov, Hector Delgado, Massimiliano Todisco, Achintya Kumar Sarkar, Nicolai Bæk Thomsen, Ville Hautamaki, Nicholas Evans, Zheng-Hua Tan

Institut for Elektroniske Systemer

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

32 Citationer (Scopus)

Abstract

Text-dependent automatic speaker verification naturally calls for the simultaneous verification of speaker identity and spoken content. These two tasks can be achieved with automatic speaker verification (ASV) and utterance verification (UV) technologies. While both have been addressed previously in the literature, a treatment of simultaneous speaker and utterance
verification with a modern, standard database is so far lacking. This is despite the burgeoning demand for voice biometrics in a plethora of practical security applications. With the goal of improving overall verification performance, this paper reports different strategies for simultaneous ASV and UV in the context
of short-duration, text-dependent speaker verification. Experiments performed on the recently released RedDots corpus are reported for three different ASV systems and four different UV systems. Results show that the combination of utterance verification with automatic speaker verification is (almost) universally
beneficial with significant performance improvements being observed.

Originalsprog	Engelsk
Titel	Proceedings Interspeech 2016
Antal sider	5
Forlag	ISCA
Publikationsdato	8 sep. 2016
DOI	https://doi.org/10.21437/Interspeech.2016-1125
Status	Udgivet - 8 sep. 2016
Begivenhed	Interspeech 2016 - San Francisco, CA, USA Varighed: 8 sep. 2016 → 12 sep. 2016 http://www.interspeech2016.org/

Konference

Konference	Interspeech 2016
Land/Område	USA
By	San Francisco, CA
Periode	08/09/2016 → 12/09/2016
Internetadresse	http://www.interspeech2016.org/

Navn	INTERSPEECH
ISSN	1990-9770

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10.21437/Interspeech.2016-1125

http://www.isca-speech.org/archive/Interspeech_2016/pdfs/1125.PDF

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Citationsformater

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title = "Utterance Verification for Text-Dependent Speaker Recognition: A Comparative Assessment Using the RedDots Corpus",

abstract = "Text-dependent automatic speaker verification naturally calls for the simultaneous verification of speaker identity and spoken content. These two tasks can be achieved with automatic speaker verification (ASV) and utterance verification (UV) technologies. While both have been addressed previously in the literature, a treatment of simultaneous speaker and utteranceverification with a modern, standard database is so far lacking. This is despite the burgeoning demand for voice biometrics in a plethora of practical security applications. With the goal of improving overall verification performance, this paper reports different strategies for simultaneous ASV and UV in the contextof short-duration, text-dependent speaker verification. Experiments performed on the recently released RedDots corpus are reported for three different ASV systems and four different UV systems. Results show that the combination of utterance verification with automatic speaker verification is (almost) universallybeneficial with significant performance improvements being observed.",

author = "Tomi Kinnunen and Md Sahidullah and Ivan Kukanov and Hector Delgado and Massimiliano Todisco and Sarkar, {Achintya Kumar} and Thomsen, {Nicolai B{\ae}k} and Ville Hautamaki and Nicholas Evans and Zheng-Hua Tan",

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Kinnunen, T, Sahidullah, M, Kukanov, I, Delgado, H, Todisco, M, Sarkar, AK, Thomsen, NB, Hautamaki, V, Evans, N & Tan, Z-H 2016, Utterance Verification for Text-Dependent Speaker Recognition: A Comparative Assessment Using the RedDots Corpus. i Proceedings Interspeech 2016. ISCA, INTERSPEECH , Interspeech 2016, San Francisco, CA, USA, 08/09/2016. https://doi.org/10.21437/Interspeech.2016-1125

TY - GEN

T1 - Utterance Verification for Text-Dependent Speaker Recognition

T2 - Interspeech 2016

AU - Kinnunen, Tomi

AU - Sahidullah, Md

AU - Kukanov, Ivan

AU - Delgado, Hector

AU - Todisco, Massimiliano

AU - Sarkar, Achintya Kumar

AU - Thomsen, Nicolai Bæk

AU - Hautamaki, Ville

AU - Evans, Nicholas

AU - Tan, Zheng-Hua

PY - 2016/9/8

Y1 - 2016/9/8

N2 - Text-dependent automatic speaker verification naturally calls for the simultaneous verification of speaker identity and spoken content. These two tasks can be achieved with automatic speaker verification (ASV) and utterance verification (UV) technologies. While both have been addressed previously in the literature, a treatment of simultaneous speaker and utteranceverification with a modern, standard database is so far lacking. This is despite the burgeoning demand for voice biometrics in a plethora of practical security applications. With the goal of improving overall verification performance, this paper reports different strategies for simultaneous ASV and UV in the contextof short-duration, text-dependent speaker verification. Experiments performed on the recently released RedDots corpus are reported for three different ASV systems and four different UV systems. Results show that the combination of utterance verification with automatic speaker verification is (almost) universallybeneficial with significant performance improvements being observed.

AB - Text-dependent automatic speaker verification naturally calls for the simultaneous verification of speaker identity and spoken content. These two tasks can be achieved with automatic speaker verification (ASV) and utterance verification (UV) technologies. While both have been addressed previously in the literature, a treatment of simultaneous speaker and utteranceverification with a modern, standard database is so far lacking. This is despite the burgeoning demand for voice biometrics in a plethora of practical security applications. With the goal of improving overall verification performance, this paper reports different strategies for simultaneous ASV and UV in the contextof short-duration, text-dependent speaker verification. Experiments performed on the recently released RedDots corpus are reported for three different ASV systems and four different UV systems. Results show that the combination of utterance verification with automatic speaker verification is (almost) universallybeneficial with significant performance improvements being observed.

U2 - 10.21437/Interspeech.2016-1125

DO - 10.21437/Interspeech.2016-1125

M3 - Article in proceeding

T3 - INTERSPEECH

BT - Proceedings Interspeech 2016

PB - ISCA

Y2 - 8 September 2016 through 12 September 2016

ER -

Utterance Verification for Text-Dependent Speaker Recognition: A Comparative Assessment Using the RedDots Corpus

Abstract

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