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PLDA Speaker Verification with Limited Speech Data

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Speech and Computer (SPECOM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9319))

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Abstract

In some speaker verification applications the amount of data available for enrolment and verification can be limited. One of the aims of this paper is to study the impact of the volume of enrolment and verification data on the performance of the system. The second aim is focused on the improvement of the speaker verification using PLDA. The PLDA is generally used to model the speaker and channel variability in the i-vector space using data from several recording sessions. In our experiment, only data from single-session per speaker was available. Therefore, we divided the development recordings into shorter segments and these segments were treated as if they were recorded in different sessions. This approach does not model the inter-session speaker variability, nor the channel variability. However, we assumed that statistical modelling of the intra-session speaker variability could bring an improvement to the results of the verification. Different granularity of segmentation was studied at various amount of enrolment and verification data.

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Notes

  1. 1.

    Active speech data of the remaining 112 speakers was not used due to its insufficient length.

References

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Acknowledgments

This research was supported by VEGA grant, number 2/0197/15.

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Authors and Affiliations

  1. Institute of Informatics, Slovak Academy of Sciences, Dúbravská Cesta 9, 845 07, Bratislava, Slovakia

    Andrej Ridzik & Milan Rusko

Authors
  1. Andrej Ridzik
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  2. Milan Rusko
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Correspondence to Andrej Ridzik .

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Editors and Affiliations

  1. SPIIRAS, Saint-Petersburg, Russia

    Andrey Ronzhin

  2. Moscow State Linguistic University, Moscow, Russia

    Rodmonga Potapova

  3. University of Patras, Patras, Greece

    Nikos Fakotakis

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Ridzik, A., Rusko, M. (2015). PLDA Speaker Verification with Limited Speech Data. In: Ronzhin, A., Potapova, R., Fakotakis, N. (eds) Speech and Computer. SPECOM 2015. Lecture Notes in Computer Science(), vol 9319. Springer, Cham. https://doi.org/10.1007/978-3-319-23132-7_40

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  • DOI: https://doi.org/10.1007/978-3-319-23132-7_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23131-0

  • Online ISBN: 978-3-319-23132-7

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