Toward a Sound Analysis System for Telemedicine

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...

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Bibliographic Details
Published inFuzzy Systems and Knowledge Discovery pp. 352 - 361
Main Authors Nguyen, Cong Phuong, Pham, Thi Ngoc Yen, Eric, Castelli
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
Artificial Neural Network
False Alarm
Fuzzy Inference System
Gaussian Mixture Model
Speech Signal
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Summary: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.
ISBN:3540283315
9783540283317
ISSN:0302-9743
1611-3349
DOI:10.1007/11540007_44