NDLI: Spiking neural network for sound localization using microphone array

Content Provider	IEEE Xplore Digital Library
Author	Faraji, M.M. Shouraki, S.B. Iranmehr, E.
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran (Faraji, M.M.; Shouraki, S.B.; Iranmehr, E.)
Abstract	Sound source localization is very useful in various fields of engineering applications. Due to remarkable ability of humans for sound source localization, this paper describes a simple biological inspired model based on spiking neural network for localizing sound source. In this paper, a simple method using analog and digital combinational circuits is proposed for generating spikes. Because of simplicity of the proposed generating spikes method, in this paper, microphone array is utilized instead of using two microphones in order to increase accuracy. Then, a neural structure based on spiking neural network is proposed which works by means of microphone's signals. This structure is designed in way that can be implemented on Field Programming Gate Array (FPGA) properly. Simulation results show that implementing of this model for different types of microphone array is not only very simple, but also shows high accuracy of localizing sound source.
Starting Page	1260
Ending Page	1265
File Size	813156
Page Count	6
File Format	PDF
e-ISBN	9781479919727
DOI	10.1109/IranianCEE.2015.7146409
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-10
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrical engineering Decision support systems FPGA Implementation Conferences Spiking Neural Network Sound Source Localization Microphone Array
Content Type	Text
Resource Type	Article

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