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.
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© 2003 Springer-Verlag Berlin Heidelberg
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Bolea, Y., Grau, A., Sanfeliu, A. (2003). Non-speech Sound Feature Extraction Based on Model Identification for Robot Navigation. In: Sanfeliu, A., Ruiz-Shulcloper, J. (eds) Progress in Pattern Recognition, Speech and Image Analysis. CIARP 2003. Lecture Notes in Computer Science, vol 2905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24586-5_26
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DOI: https://doi.org/10.1007/978-3-540-24586-5_26
Publisher Name: Springer, Berlin, Heidelberg
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