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A Sound Localization and Recognition System using Pulsed Neural Networks on FPGA

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4 Author(s)
Kaname Iwasa ; Department of Information Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, 466-8555, Japna. phone: 052-732-2111; fax: 052-744-1355; email: ; Mauricio Kugler ; Susumu Kuroyanagi ; Akira Iwata

Pulsed neurons are suitable for processing time series data, like sound signals, and can be easily implemented in hardware. In this paper, we propose an aural information processing system based on the human auditory system using a pulsed neuron model and a correspondent implementation in an FPGA device. Experimental results show that an FPGA based implementation of the proposed system can successfully identify the results faster than a similar software implementation. Noise tolerance experimental results are also presented.

Published in:

2007 International Joint Conference on Neural Networks

Date of Conference:

12-17 Aug. 2007