Audio signal identification via pattern capture and template matching

This research reports on a system able to classify di€erent signals containing auditive information based on capture of small signal segments present in speci®c types of sound. After using a Haar wavelet transform at the preprocessing stage, a neural network known as the O-algorithm compares segments from candidate audio signals against prede®ned templates stored in the network. The classi®cation performance is tested with three di€erent applications. Ó 2000 Elsevier Science B.V. All rights reserved.