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Toward a Sound Analysis System for Telemedicine

  • Cong Phuong Nguyen
  • Thi Ngoc Yen Pham
  • Castelli Eric
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3614)

Abstract

Our work is within the framework of studying a sound analysis system in a telemedicine project. The task of this system is to detect situations of distress in a patient’s room basing on sound analysis. In this paper we present our studies on the constructions of a speech/non-speech discriminator and of a speech/scream-groan discriminator. The first discriminator’s task is to distinguish speech signal from non speech signal in a room such as sounds of broken glass, door shutting, chair falling, water in toilette, etc. The second one’s task is to detect sounds of scream-groan from speech signal. Results show that these discriminators are applicable to our sound analysis system.

Keywords

Artificial Neural Network False Alarm Speech Signal Gaussian Mixture Model Fuzzy Inference System 
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 2005

Authors and Affiliations

  • Cong Phuong Nguyen
    • 1
  • Thi Ngoc Yen Pham
    • 1
  • Castelli Eric
    • 1
  1. 1.International Research Center MICAHanoiVietnam

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