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Application of the Mutual Information Minimization to Speaker Recognition / Verification Improvement

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Independent Component Analysis and Blind Signal Separation (ICA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3195))

Abstract

In this paper we propose the inversion of nonlinear distortions in order to improve the recognition rates of a speaker recognizer system. We study the effect of saturations on the test signals, trying to take into account real situations where the training material has been recorded in a controlled situation but the testing signals present some mismatch with the input signal level (saturations). The experimental results for speaker recognition shows that a combination of several strategies can improve the recognition rates with saturated test sentences from 80% to 89.39%, while the results with clean speech (without saturation) is 87.76% for one microphone, and for speaker identification can reduce the minimum detection cost function with saturated test sentences from 6.42% to 4.15%, while the results with clean speech (without saturation) is 5.74% for one microphone and 7.02% for the other one.

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Author information

Authors and Affiliations

  1. Signal Processing Group, University of Vic, Catalonia, Spain

    Jordi Solé-Casals

  2. Escola Universitària Politècnica de Mataró, UPC, Catalonia, Spain

    Marcos Faúndez-Zanuy

Authors
  1. Jordi Solé-Casals
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  2. Marcos Faúndez-Zanuy
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Editor information

Editors and Affiliations

  1. Dept. of Architecture and Computer Technology, University of Granada, Spain

    Carlos G. Puntonet  & Alberto Prieto  & 

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© 2004 Springer-Verlag Berlin Heidelberg

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Solé-Casals, J., Faúndez-Zanuy, M. (2004). Application of the Mutual Information Minimization to Speaker Recognition / Verification Improvement. In: Puntonet, C.G., Prieto, A. (eds) Independent Component Analysis and Blind Signal Separation. ICA 2004. Lecture Notes in Computer Science, vol 3195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30110-3_109

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  • DOI: https://doi.org/10.1007/978-3-540-30110-3_109

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23056-4

  • Online ISBN: 978-3-540-30110-3

  • eBook Packages: Springer Book Archive

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