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Design and Implementation of Smartphone Applications for Speaker Count and Gender Recognition

  • Alessio Agneessens
  • Igor Bisio
  • Fabio Lavagetto
  • Mario Marchese
Conference paper

Abstract

The technological evolution of smartphones, combined with their increasing diffusion, gives mobile network providers the opportunity to provide real-time, context-aware services. The number of speakers in the surroundings of the smartphone can be useful context information. In this paper, a speaker count method based on pitch estimation designed to recognize single-speaker samples from two-speaker samples is presented. In addition, a method for speaker gender recognition is described as well. An implementation of both methods for Symbian OS smartphones is also presented.

Keywords

Feature Vector Probability Distribution Function Gaussian Mixture Model Female Speaker Audio Sample 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    de Cheveignè A, Kawahar H (2002) A fundamental frequency estimator for speech and music. J Acoust Soc Am 111(4):1917–1930CrossRefGoogle Scholar
  2. 2.
    Gerhard D (2003) Pitch extraction and fundamental frequency: history and current techniques. Ph.D. Dissertation, Department of Computer Science, University of ReginaGoogle Scholar
  3. 3.
    Web site: http://www.phon.ucl.ac.uk/courses/spsci/matlab/lect10.html. (2009) University College of London, Department of Phonetics and Linguistics

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Alessio Agneessens
    • 1
  • Igor Bisio
    • 1
  • Fabio Lavagetto
    • 1
  • Mario Marchese
    • 1
  1. 1.Department of Communications, Computer and System ScienceUniversity of GenoaGenoaItaly

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