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Improving Performance of Speaker Identification Systems Using Score Level Fusion of Two Modes of Operation

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Speech and Computer (SPECOM 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10458))

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Abstract

In this paper we present a score level fusion methodology for improving the performance of closed-set speaker identification. The fusion is performed on scores which are extracted from GMM-UBM text-dependent and text-independent speaker identification engines. The experimental results indicated that the score level fusion improves the speaker identification performance compared with the best performing single operation mode of speaker identification.

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Acknowledgement

This work was partially supported by the H2020 OCTAVE Project entitled “Objective Control for TAlker VErification” funded by the EC with Grand Agreement number 647850.

The authors would like to thank Dr Md Sahidullah, Dr Nicholas Evans and Dr Tomi Kinnunen for their support in this work.

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Authors and Affiliations

  1. School of Engineering and Technology, University of Hertfordshire College, Lane Campus, Hatfield, Hertfordshire, AL10 8PE, UK

    Saeid Safavi & Iosif Mporas

Authors
  1. Saeid Safavi
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  2. Iosif Mporas
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Corresponding author

Correspondence to Saeid Safavi .

Editor information

Editors and Affiliations

  1. SPIIRAS, Saint Petersburg, Russia

    Alexey Karpov

  2. Moscow State Linguistic University, Moscow, Russia

    Rodmonga Potapova

  3. University of Hertfordshire, Hatfield, United Kingdom

    Iosif Mporas

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Safavi, S., Mporas, I. (2017). Improving Performance of Speaker Identification Systems Using Score Level Fusion of Two Modes of Operation. In: Karpov, A., Potapova, R., Mporas, I. (eds) Speech and Computer. SPECOM 2017. Lecture Notes in Computer Science(), vol 10458. Springer, Cham. https://doi.org/10.1007/978-3-319-66429-3_43

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  • DOI: https://doi.org/10.1007/978-3-319-66429-3_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66428-6

  • Online ISBN: 978-3-319-66429-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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