Abstract
This paper presents a method of text-prompted multistep speaker verification for reducing verification errors and rejecting unregistered speakers. The method has been 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 rejecting unregistered speakers by means of multistep verification using Gibbs-distribution-based extended Bayesian inference (GEBI) in text-prompted speaker verification. The properties of GEBI and the comparison to BI (Bayesian inference) for rejecting unregistered speakers are shown and analyzed by means of experiments using real speech signals.
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References
Kurogi, S., Ueki, T., Mizobe, Y., Nishida, T.: Text-prompted multistep speaker verification using Gibbs-distribution-based extended Bayesian inference for reducing verification errors. In: Lee, M., Hirose, A., Hou, Z.-G., Kil, R.M. (eds.) ICONIP 2013, Part III. LNCS, vol. 8228, pp. 184–192. Springer, Heidelberg (2013)
Beigi, H.: Fundamentals of speaker recognition. Springer-Verlag New York Inc. (2011)
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)
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)
Campbell, J.P.: Speaker Recognition: A Tutorial. Proc. the IEEE 85(9), 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)
Zhang, H.: The optimality of naive Bayes. In: Proc. FLAIRS 2004 Conference (2004)
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Kurogi, S., Ueki, T., Takeguchi, S., Mizobe, Y. (2014). Properties of Text-Prompted Multistep Speaker Verification Using Gibbs-Distribution-Based Extended Bayesian Inference for Rejecting Unregistered Speakers. In: Loo, C.K., Yap, K.S., Wong, K.W., Teoh, A., Huang, K. (eds) Neural Information Processing. ICONIP 2014. Lecture Notes in Computer Science, vol 8835. Springer, Cham. https://doi.org/10.1007/978-3-319-12640-1_5
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DOI: https://doi.org/10.1007/978-3-319-12640-1_5
Publisher Name: Springer, Cham
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