DocumentCode :
1120814
Title :
A time-domain digital cochlear model
Author :
Kates, James M.
Author_Institution :
Center for Res. in Speech & Hearing Sci., City Univ of New York, NY, USA
Volume :
39
Issue :
12
fYear :
1991
fDate :
12/1/1991 12:00:00 AM
Firstpage :
2573
Lastpage :
2592
Abstract :
The author presents a digital time-domain model of the human cochlea designed to represent normal auditory functioning and to allow for degradation related to auditory impairment. The model consists of the middle ear, the mechanical motion of the cochlea, and the neural transduction of the inner hair cells. The traveling waves on the cochlear partition are represented by a cascade of digital filter sections, and the cochlear micromechanics are represented by a second filter that further sharpens the excitation to the inner hair cells. The neural firing rate is determined by the sum of the outputs of multiple fibers attached to each inner hair cell, with the fiber neurons having firing characteristics representative of low- and high-spontaneous-rate fibers. The signal processing cochlear model incorporates dynamic-range compression by adjusting the Q of each cochlear filter section and second filter in response to the second-filter velocity and the averaged neural firing rate. Examples of the model response to impulse and tone-burst stimuli and to synthetic speech are presented
Keywords :
acoustic signal processing; digital filters; ear; time-domain analysis; auditory impairment; cochlear filter Q; cochlear micromechanics; cochlear partition; digital cochlear model; digital filter sections; digital filters; digital time-domain model; dynamic-range compression; fiber neurons; human cochlea; impulse response; inner hair cells; mechanical motion; middle ear; neural firing rate; neural transduction; normal auditory functioning; signal processing; synthetic speech; tone-burst stimuli; traveling waves; velocity; Auditory system; Biomembranes; Degradation; Digital filters; Ear; Filtering; Hair; Humans; Neurons; Time domain analysis;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.107409
Filename :
107409
Link To Document :
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