Abstract
Methods for automatic gender recognition based on voice allow the person identification only by analysis of this person speech recording. Human speech, beyond verbal communication, gives many information about the speaking person, such as identification personal characteristics: gender, age, and even emotional state. This paper proposes an approach for personal gender recognition, based on their speech. The efficiency of the method was tested using speech synthesizer. It was demonstrated that the method is effective in the all of test cases.
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
Bahari M.H., Van Hamme H.: Speaker age estimation and gender detection based on supervised non-negative matrix factorization. In: Biometric Measurements and Systems for Security and Medical Applications (BIOMS), pp. 1–6 (2011)
Metze, F., Ajmera, J., Englert, R., et al.: Comparison of four approaches to age and gender recognition for telephone applications. In: Acoustics, Speech and Signal Processing (2007)
Bocklet, T., Maier, A., Bauer, J.G.: Age and gender recognition for telephone applications based on GMM supervectors and support vector machines. In: Acoustics Speech and Signal Processing, pp. 1605–1608 (2008)
Chaudhari, S.J., Kagalkar, R.M.: A methodology for efficient gender dependent speaker age and emotion identification system. Int. J. Adv. Res. Comput. Commun. Eng. 4(7), 1–6 (2015)
Hubeika, V.: Estimation of gender and age from recorded speech. In: Proceedings of the ACM Student Research competition (2006)
Burkhardt, F., Feld, M., Muller C: Automatic speaker age and gender recognition in the car for tailoring dialog and mobile services. In: Proceedings of the Interspeech (2010)
Feng, L.: Speaker Recognition. Technical University of Denmark, DTU, Informatics and Mathematical Modelling (2004)
Jitendra A.: Effect of age and gender on LP smoothed spectral envelope. In: Proceedings of the Speaker Odyssey. IEEE (2006)
Zielinski, T.: Cyfrowe przetwarzanie sygnalow. Od teorii do zastosowan, Wydawnictwa Komunikacji i Lacznosci WKL (2013)
Acknowledgement
The work was financed (co-financed) by the Polish Ministry of Science and Higher Education (MNiSW).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Świebocka-Więk, J. (2017). Gender Recognition Based on Speaker’s Voice Analysis. In: Świątek, J., Tomczak, J. (eds) Advances in Systems Science. ICSS 2016. Advances in Intelligent Systems and Computing, vol 539. Springer, Cham. https://doi.org/10.1007/978-3-319-48944-5_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-48944-5_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-48943-8
Online ISBN: 978-3-319-48944-5
eBook Packages: EngineeringEngineering (R0)