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Randomly Prompted Speaker Verification

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Part of the book series: Signals and Communication Technology ((SCT))

Abstract

In today’s telecommunications environment, which includes wireless, landline, VoIP, and computer networks, the mismatch between training and testing environments poses a big challenge to speaker authentication systems. In Chapter 8, we addressed the mismatch problem from a feature extraction point of view. In this chapter, we address the problem from an acoustic modeling point of view. These two approaches can be used independently or jointly.

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References

  1. Chair, Z. Varshney, P.K.: Optimal data fusion in multiple sensor detection systems. IEEE Transactions on Aerospace and Electronic Systems AES-22 98–101 (1986)

    Article  Google Scholar 

  2. Duda, R.O., Hart, P.E., Pattern Classification and Scene Analysis. Wiley, New York (1973)

    MATH  Google Scholar 

  3. Farell, K.R., Mammone, R.J., and Assaleh, K. T., Speaker recognition using neural networks and conventional classifiers, IEEE Transactions on Speech and Audio Processing, vol. 2, Part II, January 1994

    Google Scholar 

  4. Fisher, R.A.: The statistical utilization of multiple measurements. Annals of Eugenics 8, 376–386 (1938)

    Article  Google Scholar 

  5. Johnson, R.A., Wichern, D.W.: Applied Multivariate Statistical Analysis. Prentice Hall, New Jersey (1988)

    MATH  Google Scholar 

  6. Lee, C.-H., Rabiner, L.R.: A frame-synchronous network search algorithm for connected word recognition. IEEE Transactions on Acoustics, Speech, and Signal Processing 37, 1649–1658 (1989)

    Article  Google Scholar 

  7. Li, Q., Parthasarathy, S., Rosenberg, A. E., and Tufts, D. W., Normalized discriminant analysis with application to a hybrid speaker-verification system, in IEEE International Conference on Acoustics, Speech, and Signal Processing (Atlanta), May 1996

    Google Scholar 

  8. Li, Q. and Tufts, D. W., Improving discriminant neural network (DNN) design by the use of principal component analysis, in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (Detroit, MI), pp. 3375–3379, May 1995

    Google Scholar 

  9. Li, Q. and Tufts, D.W., Synthesizing neural networks by sequential addition of hidden nodes, in Proceedings of the IEEE International Conference on Neural Networks (Orlando, FL), pp. 708–713, June 1994

    Google Scholar 

  10. Li, Q., Tufts, D. W., Duhaime, R., and August, P., Fast training algorithms for large data sets with application to classification of multispectral images, in Proceedings of the IEEE 28th Asilomar Conference (Pacific Grove), October 1994

    Google Scholar 

  11. Liou, H.S. and Mammone, R.J., A subword neural tree network approach to text-dependent speaker verification, in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (Detroit, MI), pp. 357–360, May 1995

    Google Scholar 

  12. Liu, C.S., Lee, C.-H., Chou, W., Juang, B.-H., Rosenberg, A.E.: A study on minimum error discriminative training for speaker recognition. Journal of the Acoustical Society of America 97, 637–648 (1995)

    Article  Google Scholar 

  13. Netsch, L. P. and Doddington, G. R., Speaker verification using temporal decorrelation post-processing, in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992

    Google Scholar 

  14. Rosenberg, A. E. and DeLong, J., HMM-based speaker verification using a telephone network database of connected digital utterances, Technical Memorandum BL01126-931206-23TM, AT&T Bell Laboratories, December 1993

    Google Scholar 

  15. Rosenberg, A. E., DeLong, J., Lee, C.-H., Juang, B.-H., and Soong, F. K., The use of cohort normalized scores for speaker verification, in Proceedings of the International Conference on Spoken Language Processing (Banff, Alberta, Canada), pp. 599–602, October 1992

    Google Scholar 

  16. Setlur, A. R., Sukkar, R. A., and Gandhi, M. B., Speaker verification using mixture likelihood profiles extracted from speaker independent hidden Markov models, in Submitted to International Conference on Acoustics, Speech, and Signal Processing, 1996

    Google Scholar 

  17. Sukkar, R. A., Gandhi, M. B., and Setlur, A. R., Speaker verification using mixture decomposition discrimination, Technical Memorandum NQ8320300-950130-01TM, AT&T Bell Laboratories, January 1995

    Google Scholar 

  18. Tufts, D. W. and Li, Q., Principal feature classification, in Neural Networks for Signal Processing V, Proceedings of the 1995 IEEE Workshop (Cambridge, MA), August 1995

    Google Scholar 

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Correspondence to Qi (Peter) Li .

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© 2012 Springer-Verlag Berlin Heidelberg

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Li, Q.(. (2012). Randomly Prompted Speaker Verification. In: Speaker Authentication. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23731-7_11

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  • DOI: https://doi.org/10.1007/978-3-642-23731-7_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23730-0

  • Online ISBN: 978-3-642-23731-7

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