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Speaker Matching

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Encyclopedia of Biometrics

Synonyms

Speaker recognition engine; Voice biometric engine

Definition

Speaker matching aims to compare the acquired data corresponding to an individual against the template feature set stored in the database. Depending on the operating mode, the comparison could be done using only the template related to a given person (detection or verification tasks) or with all the templates of the database (identification task).

The speaker matching could be split into three main functionalities:

  • Create a template from the feature set extracted from the enrollment data. Usually, the template is denoted “speaker model.”

  • Compare a feature set acquired from a sound captor with a speaker model and output a likelihood score.

  • Take an identification decision using this score. Usually other informations are used during this decision phase, like a model of potential impostors. In a speaker recognition system, the scores are very often normalized before to take the decision, using a Score Normalization...

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References

  1. H. Sakoe, S. Chiba, Dynamic programming algorithm optimization for spoken word recognition. IEEE Trans. Acoust. Speech (ASSP-26) 26(1), 43–49 (1978)

    Google Scholar 

  2. I. Booth, M. Barlow, B. Watson, Enhancements to dtw and vq decision algorithms for speaker recognition. Speech Commun. 13(3-4), 427–433 (1993)

    Google Scholar 

  3. F.K. Soong, A.E. Rosenberg, L.R. Rabiner, B.H. Juang, A vector quantization approach to speaker recognition. Approach Speaker Recogn., 66(2), 14–26 (1987)

    Google Scholar 

  4. F. Bimbot, J.F. Bonastre, C. Fredouille, G. Gravier, I. Magrin-Chagnolleau, S. Meignier, T. Merlin, J. Ortega-Garcia, D. Petrovska, D.A. Reynolds, A tutorial on text-independent speaker verification. EURASIP J. Appl. Signal Process. Spec. Issue Biom. Signal Process. 430–451 (2004)

    Google Scholar 

  5. D.A. Reynolds, T.F. Quatieri, R.B. Dunn, Speaker verification using adapted Gaussian mixture models. Digit. Signal Process 10(1-3), 19–41 (2000)

    Google Scholar 

  6. V. Wan, Speaker Verification Using Support Vector Machines. Ph.D. thesis, University of Sheffield, 2003

    Google Scholar 

  7. W. Campbell, J. Campbell, D. Reynolds, E. Singer, P. Torres-Carrasquillo, Support vector machines for speaker and language recognition. Comput. Speech Lang. 20(2-3), 210–229 (2006)

    Google Scholar 

  8. M. Ben, M. Betser, F. Bimbot, G. Gravier, Speaker diarization using bottom-up clustering based on a parameter-derived distance between adapted gmms, in ICSLP, Jeju, 2004

    Google Scholar 

  9. W.M. Campbell, D. Sturim, D.A. Reynolds, Support vector machines using GMM supervectors for speaker verification. IEEE Signal Process. Lett. 13, 308–311 (2006)

    Google Scholar 

  10. N. Scheffer, J.F. Bonastre, UBM-GMM driven discriminative approach for speaker verification, in: Speaker and Language Recognition Workshop, 2006. IEEE Odyssey 2006, San Juan, 28–30 June 2006, 34e455333r5

    Google Scholar 

  11. L. Rabiner, B. Juang, Fundamentals of Speech Recognition (Prentice-Hall, Upper Saddle River, 1992)

    Google Scholar 

  12. T. Nordstrm, H. Melin, J. Lindberg, Comparative study of speaker verification systems using the polycost database, in International Conference on Spoken Language Processing ICSLP, Banff, 1992

    Google Scholar 

  13. N. Tishby, On the application of mixture ar hidden markov models to text-independent speaker recognition. IEEE Trans. Signal Process. 39(3), 563–570 (1991)

    Google Scholar 

  14. D. Reynolds, B. Carlson, Text-dependent speaker verification using decoupled and integrated speaker and speech recognizers, in EUROSPEECH, Madrid, ESCA, 1995

    Google Scholar 

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Bonastre, JF., Matrouf, D. (2015). Speaker Matching. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_122

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