NDLI: Application of a model of the analog ear to speech signal analysis

Content Provider	IEEE Xplore Digital Library
Author	Campanella, S. Phyfe, D.
Copyright Year	1966
Abstract	It is now a well-accepted fact that the transmission response of the human ear from the pressure incident at the pinna to displacement of the basilar membrane provides a means of resolving an incident acoustic signal into its spectrum energy distribution. However, due to the inherent nature of this transmission response, the resolution of the spectrum energy distribution that is produced is very poor, and is not at all in concert with the well-known capacity of human hearing for the perception of frequency. This paper reports on a system that is currently being experimentally pursued for enhancement of the resolution of the spectral energy transfer response of the basilar membrane to incident acoustical signals. The system consists of a 40-section electrical network analog of the basilar membrane displacement. The signal energy intercepted by each section is detected and then processed by a high-order differencing network. Differencing networks up to the sixth order are being investigated. Experimental evaluation shows that a second-order differencing network significantly enhances the peak structure of the pattern generated by the basilar membrane analog, and defines with reasonable resolution the formants of the input utterances. Higher order networks appear unnecessary and even detrimental.
Starting Page	26
Ending Page	35
Page Count	10
File Size	988909
File Format	PDF
ISSN	00189278
Volume Number	16
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1968-03-01
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ear Speech analysis Signal analysis Biomembranes Energy resolution Signal resolution Humans Auditory system Frequency Energy exchange
Content Type	Text
Resource Type	Article
Subject	Signal Processing Engineering Electrical and Electronic Engineering

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