DocumentCode
2494021
Title
A time-frequency neutral network layered model for hearing perception
Author
Georgopoulos, Voula C. ; Preis, Douglas
Author_Institution
Dept. of Electr. Eng., Tufts Univ., Medford, MA, USA
fYear
1993
fDate
17-20 Oct 1993
Firstpage
123
Lastpage
126
Abstract
This paper introduces a layered neural network model for hearing perception. It is based on five important perceptual properties of hearing. The neural network model processes a joint-domain representation of the input signal to yield the desired perceptual properties. The focus is on the first two layers of the model, the transformation layer and two feature extraction layers
Keywords
acoustic signal processing; feature extraction; feedforward neural nets; hearing; multilayer perceptrons; time-frequency analysis; feature extraction layers; hearing perception; input signal; joint-domain representation; layered neural network model; perceptual properties; time-frequency analysis; transformation layer; Auditory system; Biological neural networks; Biological system modeling; Biological systems; Biology computing; Frequency conversion; Neurons; Psychology; Signal processing; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Applications of Signal Processing to Audio and Acoustics, 1993. Final Program and Paper Summaries., 1993 IEEE Workshop on
Conference_Location
New Paltz, NY
Print_ISBN
0-7803-2078-6
Type
conf
DOI
10.1109/ASPAA.1993.379981
Filename
379981
Link To Document