tailieunhanh - Báo cáo hóa học: " Neuromimetic Sound Representation for Percept Detection and Manipulation"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Neuromimetic Sound Representation for Percept Detection and Manipulation | EURASIP Journal on Applied Signal Processing 2005 9 1350-1364 2005 Hindawi Publishing Corporation Neuromimetic Sound Representation for Percept Detection and Manipulation Dmitry N. Zotkin Perceptual Interfaces and Reality Laboratory Institute for Advanced Computer Studies UMIACS University of Maryland College Park MD 20742 USA Email dz@ Taishih Chi Neural Systems Laboratory The Institute for Systems Research University of Maryland College Park MD 20742 USA Email tschi@ Shihab A. Shamma Neural Systems Laboratory The Institute for Systems Research University of Maryland College Park MD 20742 USA Email sas@ Ramani Duraiswami Perceptual Interfaces and Reality Laboratory Institute for Advanced Computer Studies UMIACS University of Maryland College Park MD 20742 USA Email ramani@ Received 2 November 2003 Revised 4 August 2004 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 8 kHz . Work on bringing the .