Abstract
This paper presents a method of text-prompted multistep speaker verification for reducing verification errors. The method is developed for our speech processing system which utilizes competitive associative nets (CAN2s) for learning piecewise linear approximation of nonlinear speech signal to extract feature vectors of pole distribution from piecewise linear coefficients reflecting nonlinear and time-varying vocal tract of the speaker. This paper focuses on reducing verification errors by means of multistep verification using Gibbs-distribution-based extended Bayesian inference (GEBI) in text-prompted speaker verification. The effectiveness of GEBI and the comparison to BI (Bayesian inference) is shown and analyzed by means of experiments using real speech signals.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Beigi, H.: Fundamentals of speaker recognition. Springer-Verlag New York Inc. (C) (2011)
Melin, H., Lindberg, J.: Prompting of Passwords in Speaker Verification Systems, Fonetik-97, Phonum 4, Umeå University, Sweden, May 28-30 (1997)
Kurogi, S., Ueno, T., Sawa, M.: A batch learning method for competitive associative net and its application to function approximation. In: Proc. SCI 2004, vol. V, pp. 24–28 (2004)
Kurogi, S., Mineishi, S., Sato, S.: An analysis of speaker recognition using bagging CAN2 and pole distribution of speech signals. In: Wong, K.W., Mendis, B.S.U., Bouzerdoum, A. (eds.) ICONIP 2010, Part I. LNCS, vol. 6443, pp. 363–370. Springer, Heidelberg (2010)
Mizobe, Y., Kurogi, S., Tsukazaki, T., Nishida, T.: Multistep speaker identification using Gibbs-distribution-based extended Bayesian inference for rejecting unregistered speaker. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds.) ICONIP 2012, Part V. LNCS, vol. 7667, pp. 247–255. Springer, Heidelberg (2012)
Campbell, J.P.: Speaker Recognition: A Tutorial. Proc. the IEEE 859, 1437–1462 (1997)
Kurogi, S.: Improving generalization performance via out-of-bag estimate using variable size of bags. J. Japanese Neural Network Society 16(2), 81–92 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kurogi, S., Ueki, T., Mizobe, Y., Nishida, T. (2013). Text-Prompted Multistep Speaker Verification Using Gibbs-Distribution-Based Extended Bayesian Inference for Reducing Verification Errors. In: Lee, M., Hirose, A., Hou, ZG., Kil, R.M. (eds) Neural Information Processing. ICONIP 2013. Lecture Notes in Computer Science, vol 8228. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42051-1_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-42051-1_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-42050-4
Online ISBN: 978-3-642-42051-1
eBook Packages: Computer ScienceComputer Science (R0)