A multi-microphone sub-band adaptive speech enhancement system employing artificial neural network based non-linear filters

Citation

Hussain A & Campbell DR (1997) A multi-microphone sub-band adaptive speech enhancement system employing artificial neural network based non-linear filters. In: 1st European Workshop on Neuromorphic Systems (EWNS'97). 1st European Workshop on Neuromorphic Systems (EWNS'97), Stirling, Scotland, 29.08.1997-31.08.1997. http://www.cs.stir.ac.uk/~lss/Neuromorphic/ProvProg.html

Abstract
In this paper, a general class of single-hidden layered linear-in-the-parameters, feedforward Artificial Neural Network (ANN) based adaptive non-linear filters is proposed for processing band-limited signals in a multi-microphone sub-band adaptive (MMSBA) speech enhancement system. The conventional MMSBA system which is based conceptually on the human auditory system offers the possibility of performing ``binaural unmasking" outwith the human body, providing signals of improved Signal to Noise Ratio (SNR) to the human ear, than a conventional aid or cochlear implant processor. Initial comparative results achieved in simulation experiments demonstrate that the proposed MMSBA system employing ``biologically inspired" ANN based sub-band processing is more capable of outperforming conventional noise cancellation schemes.

Notes
Output Type: Abstract