Abstract
Sound source identification is an intrinsic process that helps people to interact with the environment around them, allowing to interpret the information transmitted by humans, animals and machines, for this reason, it is mimicked by different types of autonomous machines. This article presents the development and implementation of a new method to identify the origin of the sound source for a small robotic system based on three microphones, using two types of artificial neural network, the first one-ADALINE structure, used to obtain a noise environmental filter and the second one-BACKPROPAGATION's structure to identify the source sound in a range between 0 and 180 degrees employing. The identification based on differents tests permit us to have an error of 7% in the last stage. The present project was developed with NI MyRIO device and the software LabVIEW and Matlab.
Original language | English |
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Title of host publication | INES 2016 - 20th Jubilee IEEE International Conference on Intelligent Engineering Systems, Proceedings |
Editors | Aniko Szakal |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 183-188 |
Number of pages | 6 |
ISBN (Electronic) | 9781509012169 |
DOIs | |
State | Published - 26 Aug 2016 |
Event | 20th Jubilee IEEE International Conference on Intelligent Engineering Systems, INES 2016 - Budapest, Hungary Duration: 30 Jun 2016 → 2 Jul 2016 |
Publication series
Name | INES 2016 - 20th Jubilee IEEE International Conference on Intelligent Engineering Systems, Proceedings |
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Conference
Conference | 20th Jubilee IEEE International Conference on Intelligent Engineering Systems, INES 2016 |
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Country/Territory | Hungary |
City | Budapest |
Period | 30/06/16 → 2/07/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- ADALINE
- adaptive filter
- BACKPROPAGATION
- neural network
- Sound source identification