Audio signal identification via pattern capture and template matching

摘要

This research reports on a system able to classify different signals containing auditive information based on capture of small signal segments present in specific 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 predefined templates stored in the network. The classification performance is tested with three different applications.