Non-speech Sound Feature Extraction Based on Model Identification for Robot Navigation
Conference paper
Abstract
Non-speech audio gives important information from the environment that can be used in robot navigation altogether with other sensor information. In this article we propose a new methodology to study non-speech audio signals with pattern recognition techniques in order to help a mobile robot to self-localize in space do-main. The feature space will be built with the more relevant coefficients of signal identification after a wavelet transformation preprocessing step given the non-stationary property of this kind of signals.
Keywords
Feature Space Mobile Robot Audio Signal Dynamic Time Warping Space Domain
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