NDLI: Self-normalization and noise-robustness in early auditory representations

Content Provider	IEEE Xplore Digital Library
Author	Kuansan Wang Shamma, S.
Copyright Year	1993
Abstract	A common sequence of operations in the early stages of most sensory systems is a multiscale transform followed by a compressive nonlinearity. The authors explore the contribution of these operations to the formation of robust and perceptually significant representation in the early auditory system. It is shown that auditory representation of the acoustic spectrum is effectively a self-normalized spectral analysis, i.e., the auditory system computes a spectrum divided by a smoothed version of itself. Such a self-normalization induces significant effects such as spectral shape enhancement and robustness against scaling and noise corruption. Examples using synthesized signals and a natural speech vowel are presented to illustrate these results. Furthermore, the characteristics of auditory representation are discussed in the context of several psychoacoustical findings, together with the possible benefits of this model for various engineering applications.<>
Starting Page	421
Ending Page	435
Page Count	15
File Size	1668699
File Format	PDF
ISSN	10636676
Volume Number	2
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-07-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise robustness Auditory system Spectral analysis Spectral shape Acoustic noise Noise shaping Signal synthesis Speech synthesis Natural languages Psychology
Content Type	Text
Resource Type	Article
Subject	Acoustics and Ultrasonics Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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