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Sonar scene analysis using neurobionic sound segregation

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1 Author(s)
S. L. Speidel ; Naval Ocean Syst. Center, San Diego, CA, USA

A computing architecture is being produced that automates primitive and schemea-based streaming of sounds and thereby achieves better real-time, in-situ analyses of complicated sonar scenes. The computational models are called the neural beamformers (NBFs). A brief qualitative overview of three beamformers is given: the crossbar beamformer is based on the Hopfield crossbar circuit; the multivector beamformer is related to Kohonen feature map learning; and the neurobionic beamformer is really a network of beamformers and combines elements of the other two beamformers. In experiments using an array of microphones operated in a laboratory room, an NBF was able to locate a sound source while exhibiting tolerance to sounds arriving at the array via a reflected path once the processing had seen the onset of the direct path excitation from the source

Published in:

Neural Networks for Ocean Engineering, 1991., IEEE Conference on

Date of Conference:

15-17 Aug 1991