A Real-Time Sound Recognition System in an Assisted Environment

  • Héctor Lozano
  • Inmaculada Hernáez
  • Javier Camarena
  • Ibai Díez
  • Eva Navas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7383)

Abstract

This article focuses on the development of detection and classification system of environmental sounds in real-time in a typical home for persons with disabilities. Based on the extraction of acoustic characteristics (Mel Frequency Cepstral Coefficients, Zero Crossing Rate, Roll Off Point and Spectral Centroid) and using a probabilistic classifier (Gaussian Mixture Model), preliminary results show an accuracy rate greater than 93% in the detection and 98% in the classification task

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Héctor Lozano
    • 1
  • Inmaculada Hernáez
    • 2
  • Javier Camarena
    • 1
  • Ibai Díez
    • 1
  • Eva Navas
    • 2
  1. 1.Tecnalia, Health and Quality of Life Unit, Parque TecnológicoZamudioSpain
  2. 2.Department of Electronics and TelecommunicationsUniversity of the Basque CountryBilbaoSpain

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