Ontology-Based Classifier for Audio Scenes in Telemedicine

  • Cong Phuong Nguyen
  • Ngoc Yen Pham
  • Eric Castelli
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4224)


Our work is within the framework of studying and implementing a sound analysis system in a telemedicine project. The task of this system is to detect situations of distress in a patient’s room based sound analysis. In this paper we present our works on building domain ontologies of such situations. They gather abstract concepts of sounds and these concepts, along with their properties and instances, are represented by a neural network. The ontology-based classifer uses outputs of networks to identify classes of audio scenes. The system is tested with a database extracted from films.


Sound Effect Concept Property Audio Content Audio Object Sound Object 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Cong Phuong Nguyen
    • 1
  • Ngoc Yen Pham
    • 1
  • Eric Castelli
    • 1
  1. 1.International Research Center MICA, HUT – CNRS/UMI2954 – INPGrenobleHanoiVietnam

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