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Automatic Speech Recognition Based on Neural Networks Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Semi-automatic Speaker Verification System Based on Analysis of Formant, Durational and Pitch Characteristics

Authors : Elena Bulgakova, Aleksey Sholohov

Published in: Speech and Computer

Publisher: Springer International Publishing

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Abstract

Modern speaker verification systems take advantage of a number of complementary base classifiers by fusing them to get reliable verification decisions. The paper presents a semi-automatic speaker verification system based on fusion of formant frequencies, phone durations and pitch characteristics. Experimental results demonstrate that combination of these characteristics improves speaker verification performance. For improved and cost-effective performance of the pitch subsystem further we selected the most informative pitch characteristics.

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Literature
1.
Rose, P.: Forensic Speaker Identification. Taylor and Francis, London (2002)CrossRef
2.
Tanner, D.C., Tanner, M.E.: Forensic Aspects of Speech Patterns: Voice Prints, Speaker Profiling, Lie and Intoxication Detection. Lawyers and Judges Publishing, Tucson (2004)
3.
Bulgakova, E., Sholohov, A., Tomashenko, N., Matveev, Y.: Speaker verification using spectral and durational segmental characteristics. In: Ronzhin, A., Potapova, R., Fakotakis, N. (eds.) SPECOM 2015. LNCS, vol. 9319, pp. 397–404. Springer, Heidelberg (2015)CrossRef
4.
Smirnova, N., et al.: Using parameters of identical pitch contour elements for speaker discrimination. In: Proceedings of the 12th International Conference on Speech and Computer, pp. 361–366 (2007)
5.
Becker, T., Jessen, M., Grigoras, C.: Forensic speaker verification using formant features and Gaussian mixture models. In: Proceedings of Interspeech, pp. 1505–1508 (2008)
6.
Reynolds, D., Quatieri, T., Dunn, R.: Speaker verification using adapted Gaussian mixture models. Digit. Signal Proc. 10, 19–41 (2000)CrossRef
7.
Jain, A.K., Flynn, P., Ross, A.A. (eds.): Handbook of Biometrics. Springer-Verlag New York, Inc., New York (2008)
8.
Metadata
Title
Semi-automatic Speaker Verification System Based on Analysis of Formant, Durational and Pitch Characteristics
Authors
Elena Bulgakova
Aleksey Sholohov
Copyright Year
2016
Book
Speech and Computer

Print ISBN: 978-3-319-43957-0

Electronic ISBN: 978-3-319-43958-7

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-43958-7_74

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