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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
de Cheveignè A, Kawahar H (2002) A fundamental frequency estimator for speech and music. J Acoust Soc Am 111(4):1917–1930
Gerhard D (2003) Pitch extraction and fundamental frequency: history and current techniques. Ph.D. Dissertation, Department of Computer Science, University of Regina
Web site: http://www.phon.ucl.ac.uk/courses/spsci/matlab/lect10.html. (2009) University College of London, Department of Phonetics and Linguistics
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer Science+Business Media, LLC
About this paper
Cite this paper
Agneessens, A., Bisio, I., Lavagetto, F., Marchese, M. (2010). Design and Implementation of Smartphone Applications for Speaker Count and Gender Recognition. In: Giusto, D., Iera, A., Morabito, G., Atzori, L. (eds) The Internet of Things. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-1674-7_18
Download citation
DOI: https://doi.org/10.1007/978-1-4419-1674-7_18
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-1673-0
Online ISBN: 978-1-4419-1674-7
eBook Packages: EngineeringEngineering (R0)