Construction and Evaluation of a Robust Multifeature Speech/Music Discriminator
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
Real-time discrimination of broadcast speech/music
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
Frame level noise classification in mobile environments
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01
Progress in Broadcast News transcription at Dragon Systems
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01
A comparison of features for speech, music discrimination
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01
Using the Fisher kernel method for Web audio classification
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
Human Distress Sound Analysis and Characterization Using Advanced Classification Techniques
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
First steps to an audio ontology-based classifier for telemedicine
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Ontology-Based classifier for audio scenes in telemedicine
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
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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.