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dc.contributor.authorWang, K.en_US
dc.contributor.authorShamma, S.en_US
dc.date.accessioned2007-05-23T09:54:03Z
dc.date.available2007-05-23T09:54:03Z
dc.date.issued1993en_US
dc.identifier.urihttp://hdl.handle.net/1903/5392
dc.description.abstractA common sequence of operations in the early stages of most sensory systems is a multiscale transform followed by a compressive nonlinearity. In this paper, we 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 that is 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.en_US
dc.format.extent1694035 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1993-47en_US
dc.subjectneural systemsen_US
dc.subjectrobust information processingen_US
dc.subjectsignal processingen_US
dc.subjectspeech processingen_US
dc.subjectIntelligent Servomechanismsen_US
dc.titleNormalization and Noise-Robustness in Early Auditory Representationsen_US
dc.typeTechnical Reporten_US
dc.contributor.departmentISRen_US


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