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Neuromimetic Sound Representation for Percept Detection and Manipulation
EURASIP Journal on Advances in Signal Processing volume 2005, Article number: 486137 (2005)
Abstract
The acoustic wave received at the ears is processed by the human auditory system to separate different sounds along the intensity, pitch, and timbre dimensions. Conventional Fourier-based signal processing, while endowed with fast algorithms, is unable to easily represent a signal along these attributes. In this paper, we discuss the creation of maximally separable sounds in auditory user interfaces and use a recently proposed cortical sound representation, which performs a biomimetic decomposition of an acoustic signal, to represent and manipulate sound for this purpose. We briefly overview algorithms for obtaining, manipulating, and inverting a cortical representation of a sound and describe algorithms for manipulating signal pitch and timbre separately. The algorithms are also used to create sound of an instrument between a "guitar" and a "trumpet." Excellent sound quality can be achieved if processing time is not a concern, and intelligible signals can be reconstructed in reasonable processing time (about ten seconds of computational time for a one-second signal sampled at ). Work on bringing the algorithms into the real-time processing domain is ongoing.
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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Zotkin, D.N., Chi, T., Shamma, S.A. et al. Neuromimetic Sound Representation for Percept Detection and Manipulation. EURASIP J. Adv. Signal Process. 2005, 486137 (2005). https://doi.org/10.1155/ASP.2005.1350
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DOI: https://doi.org/10.1155/ASP.2005.1350