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

— Pulsed neurons are suitable for processing time series data, like sound signals, and can be easy 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 implemetation in an FPGA device. Experimental results show that a FPGA based implementation of the proposed system could successfully identify the results faster than a similar software implementation. Noise tolerance experimental results are also presented.

• Type: Conference
• Year: 2007
• Where: IJCNN
• Authors: Kaname Iwasa, Mauricio Kugler, Susumu Kuroyanagi, Akira Iwata
• Keywords: Aural Information Processing, FPGA Based Implementation, IJCNN 2007, Time Series Data