Skip to main content

Neuromimetic Sound Representation for Percept Detection and Manipulation


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.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Dmitry N. Zotkin.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

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).

Download citation

  • Received:

  • Revised:

  • Published:

  • DOI:

Keywords and phrases