A pattern recognition approach for aircraft noise detection

38th International Congress and Exposition on Noise Control Engineering 2009, INTER-NOISE 2009

Volumn 6, Issue , 2009, Pages 4293-4301

  Bertrand, Barbo ^a   Christophe, Rosin ^a   Jean Marie, MacHet ^a   Boris, Défréville ^b  

^a Department of Acoustics   (France)

^b ORELIA SAS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT NOISE; AUDIO FILES; FLIGHT INFORMATION; GENERALISATION; NOISE MONITORING; SOFTWARE PROCESS; SOUND LEVEL; SOUND RECOGNITION; TECHNICAL INTEGRATION; TRAINING PHASE;

AIRCRAFT; AIRPORTS; ARCHITECTURAL ACOUSTICS; EXHIBITIONS; NOISE POLLUTION; PATTERN RECOGNITION;

ACOUSTIC NOISE;

EID: 84869987009     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. B. Barbo and J-M Machet, "Air Traffic Noise Quota at Paris - Charles-de-Gaulle Airport, a Global Indicator from Actual Noise Levels", Internoise 2008..
2. McAdams, S. "Recognition of sound sources and events", In: Thinking in Sound: The Cognitive Psychology of Human Audition, Edited by: McAdams, S., Bigand, E., Oxford: Oxford University Press, 146-198., 1993.
3. H. Almuallim and T. G. Dietterich. Learning boolean concepts in the presence of many irrelevant features. Artificial Intelligence, 69(1-2):279-305, 1994.
4. D. Koller and M. Sahami. Toward optimal feature selection. In Proceedings of the Thirteenth International Conference on Machine Learning, pages 284-292, 1996.
5. A. L. Blum and R. L. Rivest. Training a 3-node neural networks is NP-complete. Neural Networks, 5:117-127, 1992.