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APPAREIL D'INTELLIGENCE ARTIFICIELLE SUR DES DONNÉES RELATIVES AU BRUIT ET PROCÉDÉ DE PRÉCONDITIONNEMENT POUR IDENTIFICATION DE SOURCE DE BRUIT PROBLÉMATIQUE
APPAREIL D'INTELLIGENCE ARTIFICIELLE SUR DES DONNÉES RELATIVES AU BRUIT ET PROCÉDÉ DE PRÉCONDITIONNEMENT POUR IDENTIFICATION DE SOURCE DE BRUIT PROBLÉMATIQUE
A noise data artificial intelligence learning method for identifying the source of problematic noise may include a noise data pre-conditioning method for identifying the source of problematic noise including: selecting a unit frame for the problematic noise among noises sampled with time; dividing the unit frame into N segments; analyzing frequency characteristic for each segment of the N segments and extracting a frequency component of each segment by applying Log Mel Filter; and outputting a feature parameter as one representative frame by averaging information on the N segments, wherein an artificial intelligence learning by the feature parameter extracted according to a change in time by the noise data pre-conditioning method applies Bidirectional RNN.
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