Obiettivo There is a potential market for a new generation of instruments that can automatically identify and quantify, in real time, the various acoustic sources that make up a given acoustic environment. By providing noise control engineers with the means to obtain a detailed picture of any acoustic environment that people are exposed to, such instruments would enable noise annoyance in daily life and in the workplace to be better controlled.The aim of the MADRAS project was to develop the basis for a new generation of instruments that can automatically identify, in real time, the various acoustic sources in a given acoustic environment and assess their impact.The final instrument, which could be used either for on-site measurements or for long-term monitoring, will be able to correctly identify the vast majority of sources that make up typical acoustic environments in daily life or in the workplace. A broad classification is firstly carried out between major classes including stationary sources, impulsive noise, speech and shouts, isolated vehicles and heavy carriers. This step benefits from the description of the environment provided by the operator through a simple dialogue. Then the nature of each source is identified with as much detail as possible by using approaches adapted to the different classes. Source identification is possible even when the sources are corrupted by other noises. One of the industrial partners in the project is planning to commercialise the instrument.Artificial intelligence approaches together with advanced processing techniques were developed and tested to perform the automatic identification and quantification of the various acoustic events that can occur during the period of analysis. The automatic source recognition algorithms operate by comparing the processed sound pressure level data in the time and frequency domains with parameters derived from a wide-ranging and comprehensive data base of typical noises. The actual data base specifically recorded for the purpose of this project includes more than two thousand events and is available on CD-ROM. Campo scientifico natural sciencescomputer and information sciencesartificial intelligencenatural sciencesphysical sciencesacoustics Programma(i) FP3-MAT - Specific research and technological development programme (EEC) in the field of measurements and testing, 1990-1994 Argomento(i) Data not available Invito a presentare proposte Data not available Meccanismo di finanziamento CSC - Cost-sharing contracts Coordinatore Agora Conseil SARL Contributo UE Nessun dato Indirizzo 185 Hameau du Château 38360 Sassenage Francia Mostra sulla mappa Costo totale Nessun dato Partecipanti (6) Classifica in ordine alfabetico Classifica per Contributo UE Espandi tutto Riduci tutto 01 dB Francia Contributo UE Nessun dato Indirizzo 111 rue du 1er Mars 69100 Villeurbanne Mostra sulla mappa Costo totale Nessun dato CENTRE SCIENTIFIQUE ET TECHNIQUE DU BATIMENT - CSTB Francia Contributo UE Nessun dato Indirizzo 4, AVENUE DU RECTEUR POINCARE 75782 PARIS Mostra sulla mappa Costo totale Nessun dato Centre National de la Recherche Scientifique (CNRS) Francia Contributo UE Nessun dato Indirizzo Rue Maurice Audin 69518 Vaulx-en-Velin Mostra sulla mappa Costo totale Nessun dato Estudi Acustic H. Arau Spagna Contributo UE Nessun dato Indirizzo 68,Alegre de Dalt Entio 08024 Barcelona Mostra sulla mappa Costo totale Nessun dato GRADUATE SCHOOL VLAG Paesi Bassi Contributo UE Nessun dato Indirizzo Bomenweg 2 6703 HD WAGENINGEN Mostra sulla mappa Costo totale Nessun dato UNIVERSITE DE LIEGE*ULG Belgio Contributo UE Nessun dato Indirizzo PLACE DU 20 AOUT 7 4000 LIEGE Mostra sulla mappa Costo totale Nessun dato
