Memorias de investigación
Artículos en revistas:
Real-time aircraft noise likeness detector
Año:2010
Áreas de investigación
  • Ingeniería mecánica, aeronaútica y naval,
  • Ingenieria mecanica
Datos
Descripción
One of the most difficult tasks involved in the process of noise monitoring near airports is related to the automatic detection and classification of aircraft noise events. These tasks can be solved by applying pattern recognition techniques to the audio signal captured by a microphone. But now the problem is caused by the background noise, which is present in real environments. This paper proposes a real-time method for continuously tracking the similarity of the input sound and the aircraft's sounds. Using these facilities, the monitoring unit will be able to mark aircraft events, or to make measurements only when aircraft sound is louder than background noise. A one-class approach has been applied to this detection-by-classification method. Using the default setup, 93% of the aircraft's events which held an SNR of 6-8 dB were detected, for 30 different locations with diverse soundscapes. © 2009 Elsevier Ltd. All rights reserved.
Internacional
Si
JCR del ISI
Si
Título de la revista
APPLIED ACOUSTICS
ISSN
0003-682X
Factor de impacto JCR
0,784
Información de impacto
Volumen
71
DOI
10.1016/j.apacoust.2009
Número de revista
6
Desde la página
539
Hasta la página
545
Mes
JUNIO
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Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Investigación en Instrumentación y Acústica Aplicada (I2A2)
  • Departamento: Ingeniería Mecánica y de Fabricación
  • Centro o Instituto I+D+i: Centro de Acústica Aplicada y Evaluación No Destructiva (CAEND). Centro Mixto UPM-CSIC
  • Departamento: Sistemas Electrónicos y de Control