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Practical Considerations for Real-Time Implementation of Speech-Based Gender Detection

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Part of the book series:Lecture Notes in Computer Science ((LNIP,volume 4225))

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Abstract

This paper describes a detailed analysis and implementation of a robust gender detector for audio stream applications. The implementation, based on melcepstral features and a Gaussian mixture model classifier, is designed to maximize gender classification performance in continuous speech. The described detector outperforms other reported systems based on statistically significant numbers of gender verifications (2136 unique speakers) obtained from the FISHER speech corpus. The system yields high accuracies for long and short utterances while a confidence figure of merit score for the decision ensures reliability in continuous audio streams.

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Author information

Authors and Affiliations

  1. Institute of Bimedical Engineering, University of New Brunswick, P.O. Box 4400, Fredericton, NB, E3B 5A3, Canada

    Erik Scheme & Kevin Englehart

  2. Dept. of Electrical and Computer Engineering, University of New Brunswick, P.O. Box 4400, Fredericton, NB, E3B 5A3, Canada

    Eduardo Castillo-Guerra & Kevin Englehart

  3. Diaphonics Inc., 1310 Hollis Street, Halifax, Nova Scotia, B3J 3P3, Canada

    Arvind Kizhanatham

Authors
  1. Erik Scheme

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  2. Eduardo Castillo-Guerra

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  3. Kevin Englehart

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  4. Arvind Kizhanatham

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Editor information

Editors and Affiliations

  1. Computer Science Department,, José Francisco Martínez-Trinidad, National Institute of Astrophysics, Optics and Electronics (INAOE), Luis Enrique Erro No. 1, 72840 Sta. Maria Tonantzintla, Puebla, Mexico

    José Francisco Martínez-Trinidad

  2. Computer Science Department, National Institute of Astrophysics, Optics and Electronics (INAOE), Luis Enrique Erro No. 1, 72840 Sta. Maria Tonantzintla, Puebla, Mexico

    Jesús Ariel Carrasco Ochoa

  3. Centre for Vision, Speech and Signal Processing, University of Surrey,, GU2 7XH, Guildford, UK

    Josef Kittler

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Scheme, E., Castillo-Guerra, E., Englehart, K., Kizhanatham, A. (2006). Practical Considerations for Real-Time Implementation of Speech-Based Gender Detection. In: Martínez-Trinidad, J.F., Carrasco Ochoa, J.A., Kittler, J. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2006. Lecture Notes in Computer Science, vol 4225. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892755_44

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