Abstract: A noise generation cause identifying method and a noise generation cause identifying device are provided. A response correcting process corrects a sound signal obtained through a sound signal obtaining process based on obtained model information so that a frequency response of the obtained sound signal approaches a frequency response of a learning sound signal. A variable obtaining process obtains a variable output from a map by inputting the corrected sound signal to the map. A cause identifying process identifies a generation cause of a sound picked up by a microphone using the variable obtained through the variable obtaining process.

Abstract: A mapping, which is as a subject of learning, is a learning model that uses a sound signal as an input variable and outputs a variable indicating the cause of a sound in a vehicle. A learning method includes a signal correction process that corrects a sound signal by superimposing a noise signal on the sound signal, and an update process that updates the mapping through machine learning in which the sound signal corrected in the signal correction process serves as training data and a cause of a sound paired with the sound signal serves as teaching data.