Title :
Modeling neurons in the anteroventral cochlear nucleus for amplitude modulation (AM) processing: application to speech sound
Author :
Tang, Ping ; Rouat, Jean
Abstract :
The aim of this work is to explore the representation of speech in the anteroventral cochlear nucleus by computational models based on neuroanatomical and neurophysiological data. A computational model of the anteroventral cochlear nucleus stellate cells with chop-S type response properties is described. Input that is excitatory and inhibitory to the model is in the form of simulated auditory-nerve spikes. The model is capable of generating a wide range of realistic chop-S unit responses. We investigate the speech information processing performed by our system that includes a peripheral model (cochlea, hair cells, auditory nerve spikes generation and chop-S units)
Keywords :
amplitude modulation; auditory evoked potentials; neurophysiology; physiological models; speech processing; speech recognition; amplitude modulation; anteroventral cochlear nucleus; chop-S type response properties; computational models; excitatory input; inhibitory input; neuroanatomical data; neurophysiological data; peripheral model; speech information processing; speech sound; stellate cells; Acoustic noise; Amplitude modulation; Auditory system; Computational modeling; Neurons; Speech analysis; Speech enhancement; Speech processing; Speech recognition; Working environment noise;
Conference_Titel :
Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-3555-4
DOI :
10.1109/ICSLP.1996.607179
