A sound localization and recognition system using pulsed neural networks on FPGA

被引：3

作者：

Iwasa, Kaname ^{[1
]}

Kugler, Mauricio ^{[1
]}

Kuroyanagi, Susumu ^{[1
]}

Iwata, Akira ^{[1
]}

机构：

[1] Nagoya Inst Technol, Dept Informat Engn, Showa Ku, Gokiso Cho, Nagoya, Aichi 4668555, Japan

来源：

2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6 | 2007年

关键词：

D O I：

10.1109/IJCNN.2007.4371078

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：902 / +

页数：2

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