Abstract
In this paper, we present an improved method for estimating the distance to a sound source and localizing a sound source in three-dimensional space, based on a simple correlation approach with training of a neural network. This new algorithm provides an estimate of azimuth and elevation of angles in free space using four microphones. The proposed method is tested using simulation and compared with the method of simple cross-correlation. It allows to localize sound sources in free space with an accuracy of up to 93%.
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
Mittal, Y., Toshniwal, P., Sharma, S., Singhal, D., Gupta, R., Mittal, V.K.: A voice-controlled multi-functional smart home automation system. In: 2015 Annual IEEE India Conference (INDICON), pp. 1–6. IEEE (2015)
Stefanović, I., Nan, E., Radin, B.: Implementation of the wake word for smart home automation system. In: 2017 IEEE 7th International Conference on Consumer Electronics-Berlin (ICCE-Berlin), pp. 271–272. IEEE (2017)
Pavlidi, D., Griffin, A., Puigt, M., Mouchtaris, A.: Real-time multiple sound source localization and counting using a circular microphone array. IEEE Trans. Audio Speech Lang. Process. 21(10), 2193–2206 (2013)
Pavlidi, D., Delikaris-Manias, S., Pulkki, V., Mouchtaris, A.: 3D localization of multiple sound sources with intensity vector estimates in single source zones. In: 2015 23rd European Signal Processing Conference (EUSIPCO), pp. 1556–1560. IEEE (2015)
Keyrouz, F., Naous, Y., Diepold, K.: A new method for binaural 3-D localization based on HRTFs. In: 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, vol. 5, p. V-V. IEEE (2006)
Khaddour, H.: A comparison of algorithms of sound source localization based on time delay estimation. Commun. Technol. 2(1), 31 (2011)
Vesa, S.: Binaural sound source distance learning in rooms. IEEE Trans. Audio, 1498–1507 (2009)
de Godoy, D., Xia, S., Fernandez, P.W., Jiang, X., Kinget, P.: An ultra-low-power custom integrated circuit based sound-source localization system. In: Conference on Internet-of-Things Design and Implementation, pp. 314–315 (2018)
Ghamdan, L., Shoman, M.A.I., Elwahab, R.A., Ghamry, N.A.E.H.: Position estimation of binaural sound source in reverberant environments. Egyptian Inform. J. 18(2), 87–93 (2017)
Nakamura, K., Nakadai, K., Ince, G.: Real-time super-resolution sound source localization for robots. In: 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 694–699. IEEE (2012)
Specht, D.F.: Probabilistic neural networks. Neural Networks 3(1), 109–118 (1990)
Takeda, R., Komatani, K.: Sound source localization based on deep neural networks with directional activate function exploiting phase information. In: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 405–409. IEEE (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Tsybulskaya, J., Permiakov, N., Drugov, P., Denisov, A. (2020). Sound Source Localization Based on the Simple Cross-correlation Method and Probabilistic Neural Networks. In: Ronzhin, A., Shishlakov, V. (eds) Proceedings of 14th International Conference on Electromechanics and Robotics “Zavalishin's Readings”. Smart Innovation, Systems and Technologies, vol 154. Springer, Singapore. https://doi.org/10.1007/978-981-13-9267-2_43
Download citation
DOI: https://doi.org/10.1007/978-981-13-9267-2_43
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9266-5
Online ISBN: 978-981-13-9267-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)