An examination of the application of multi-layer neural networks to audio signal processing

Abstract

A method is described for utilizing a multilayer neural network for audio signal processing. Normal finite and infinite impulse response (FIR and IIR) filters are of little use in separating the signal from noise because the cases considered are those where the noise source has statistical properties similar to the signal. Artificial neural systems (ANSs) offer potential alternatives to signal-processing and pattern-recognition techniques. ANSs were utilized using back propagation in an adaptive filter, and how single-layer and multilayer networks compare for adaptive filtering was explored. The experimental results indicate that the multilayer ANS did provide better performance