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Biologically inspired speaker verification using Spiking Self-Organising Map

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Research and Development in Intelligent Systems XXIX (SGAI 2012)

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Abstract

This paper presents a speaker verification system that uses a self organising map composed of spiking neurons. The architecture of the system is inspired by the biomechanical mechanism of the human auditory system which converts speech into electrical spikes inside the cochlea. A spike-based rank order coding input feature vector is suggested that is designed to be representative of the real biological spike trains found within the human auditory nerve. The Spiking Self Organising Map (SSOM) updates its winner neuron only when its activity exceeds a specified threshold. The algorithm is evaluated using 50 speakers from the Centre for Spoken Language Understanding (CSLU2002) speaker verification database and shows a speaker verification performance of 90.1%. This compares favorably with previous non-spiking self organising map that used Discrete Fourier Transform (DFT)-based input feature vector with the same dataset.

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Authors and Affiliations

  1. Nottingham Trent University, Nottingham, NG11 8NS, UK

    Tariq Tashan, Tony Allen & Lars Nolle

Authors
  1. Tariq Tashan
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  2. Tony Allen
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  3. Lars Nolle
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Corresponding author

Correspondence to Tariq Tashan .

Editor information

Editors and Affiliations

  1. School of Computing, University of Portsmouth, Whitepost Lane The Lilacs, Portsmouth, PO1 3AH, Hampshire, United Kingdom

    Max Bramer

  2. School of Computing, Engineering & Mathe, University of Brighton, Lewes Road, Brighton, BN2 4GJ, West Sussex, United Kingdom

    Miltos Petridis

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© 2012 Springer-Verlag London

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Tashan, T., Allen, T., Nolle, L. (2012). Biologically inspired speaker verification using Spiking Self-Organising Map. In: Bramer, M., Petridis, M. (eds) Research and Development in Intelligent Systems XXIX. SGAI 2012. Springer, London. https://doi.org/10.1007/978-1-4471-4739-8_1

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  • DOI: https://doi.org/10.1007/978-1-4471-4739-8_1

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4738-1

  • Online ISBN: 978-1-4471-4739-8

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