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Speech/speaker recognition using a HMM/GMM hybrid model

  • Text-dependent Speaker Authentication
  • Conference paper
  • First Online:
Audio- and Video-based Biometric Person Authentication (AVBPA 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1206))

Abstract

In this paper, a speaker recognition voice based system is presented [5]. We have implemented it in a Sun platform.We train (and test) the system using a Database recorded in several sessions in order to repair the huge effects that the speech variability with time has in the recognition rate system. Several experiments have been made in order to achieve the best configuration in the system set up. This is an important point to take into account in a real world system in which users train the system once and the models generated in the training process are not updated for strategic reasons. The recognition rate obtained for the proposed system is around 93% if the speech came from a microphone is around 90% when the speech came from a phone line.

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References

  1. Furui & Sondhi “Advances in Speech Signal Processing”. Ed. MARCEL DEKKER, INC. 1989.

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  6. Veth& Bourlard “Comparison of Hidden Markov Model techniques for automatic speaker verification in real-world conditions”, Speech Communication 17 (1995) 81–90

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Author information

Authors and Affiliations

  1. Universidad Carlos III de Madrid, c/ Butarque, 15, 28911, Leganés(Madrid), Spain

    Elena Rodríguez, Belén Ruíz, Ángel García-Crespo & Fernando García

Authors
  1. Elena Rodríguez
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  2. Belén Ruíz
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  3. Ángel García-Crespo
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  4. Fernando García
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Editor information

Josef Bigün Gérard Chollet Gunilla Borgefors

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© 1997 Springer-Verlag Berlin Heidelberg

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Rodríguez, E., Ruíz, B., García-Crespo, Á., García, F. (1997). Speech/speaker recognition using a HMM/GMM hybrid model. In: Bigün, J., Chollet, G., Borgefors, G. (eds) Audio- and Video-based Biometric Person Authentication. AVBPA 1997. Lecture Notes in Computer Science, vol 1206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0016000

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  • DOI: https://doi.org/10.1007/BFb0016000

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62660-2

  • Online ISBN: 978-3-540-68425-1

  • eBook Packages: Springer Book Archive

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