@article{Young_Hines_Pecknold_2006, title={Automatic classification of impulsive-source active sonar echoes using perceptual signal features from musical acoustics}, volume={34}, url={https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1817}, abstractNote={The possibility of using human auditory systems as signal features in an automatic classification of impulsive-source active sonar echoes recorded on a towed-array is discussed. It can be demonstrated that active sonar echoes can be successfully classified using perceptual signal features. The perceptual signal features include duration, sub-band attack and decay time, sub-band synchronicity, spectral character of the pre-attack noise, peak value, and the loudness spectrum. The data were collected during a sea trial on the Malta Plateau using signals underwater sound (SUS) charges and a towed array. The towed array data were beamformed to obtain a total of 81 horizontal beams, each of which were spectrally whitened by using a Butterworth filter, and normalized to eliminate reverberation. Results demonstrate that perceptual features with a Gaussian classifier can be used to successfully classify impulsive-source active sonar echoes, and can achieve an error rate less than 10%.}, number={3}, journal={Canadian Acoustics}, author={Young, Victor W. and Hines, Paul C. and Pecknold, Sean}, year={2006}, month={Sep.}, pages={50–51} }