Non-speech Sound Feature Extraction Based on Model Identification for Robot Navigation

  • Yolanda Bolea
  • Antoni Grau
  • Alberto Sanfeliu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2905)


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.


Feature Space Mobile Robot Audio Signal Dynamic Time Warping Space Domain 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Yolanda Bolea
    • 1
  • Antoni Grau
    • 1
  • Alberto Sanfeliu
    • 2
  1. 1.Automatic Control DeptTechnical University of Catalonia UPC 
  2. 2.Robotics InstituteIRI/CSIC, UPCBarcelonaSpain

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