To provide a technology for diagnosing a source of problematic noise for vehicle noise using artificial intelligence based on deep learning, which is a noise data artificial intelligence apparatus and pre-conditioning method for identifying the source of problematic noise.SOLUTION: Provided is a noise data artificial intelligence learning method for identifying a source of problematic noise including a noise data pre-conditioning method for identifying a source of problematic noise including the steps of: 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 and extracting a frequency component by applying Log Mel Filter; and outputting a feature vector (feature parameter) as one representative frame by averaging information on the segments, in which Bidirectional RNN is applied to an artificial intelligence learning by the feature parameter extracted according to a change in time by the pre-conditioning method.SELECTED DRAWING: Figure 1
NOISE DATA ARTIFICIAL INTELLIGENCE APPARATUS AND PRE-CONDITIONING METHOD FOR IDENTIFYING SOURCE OF PROBLEMATIC NOISE