Title :
Speech processing model based on the cochlea temporal characteristics and neural networks with Gabor weights
Author :
Galunov, Valery I. ; Tampel, Ivan B.
Author_Institution :
JV Neuroma, Moscow, Russia
Abstract :
Proposes a neurophysiologically based model for acoustical signal processing that employs temporal characteristics of the cochlea response and subsequent neural networks with fixed weights described by Gabor-like functions. With this model, which is based on an integral mechanism, one can naturally explain such effects as sharpening of the spectrum, lateral inhibition, and extraction of formant and pitch for a high-pass signal
Keywords :
acoustic signal processing; ear; hearing; neural nets; neurophysiology; physiological models; speech analysis and processing; Gabor weights; acoustical signal processing; cochlea temporal characteristics; formant extraction; high-pass signal; integral mechanism; lateral inhibition; neural networks; neurophysiologically based model; pitch extraction; spectral sharpening; speech processing; Auditory system; Biological neural networks; Data mining; Linear predictive coding; Multilayer perceptrons; Neural networks; Neurofeedback; Signal processing; Speech processing; Speech recognition;
Conference_Titel :
Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
Conference_Location :
Rostov-on-Don
Print_ISBN :
0-7803-0809-3
DOI :
10.1109/RNNS.1992.268605
