Apparatus and method for analyzing road surface condition based on vehicle noise

A method for analyzing a road surface condition, comprising:

• receiving, by a signal processing unit, an image signal of a vehicle and an audio signal that is a noise generated on a road surface by driving of the vehicle;
• generating, by the signal processing unit, an audio-of-interest signal by detecting an audio signal of a frequency-of-interest band from the received audio signal;
• and
• recognizing, by a recognition unit, the road surface condition by analyzing the image signal and the audio-of-interest signal through a learned vehicle type recognition model and one of a plurality of learned state recognition models,
• wherein the method further comprises:
• before receiving the audio signal,
• preparing, by a learning unit, training data including a training audio-of-interest signal and a label corresponding to the training audio-of-interest signal;
• inputting, by the learning unit, the training audio-of-interest signal to a state recognition model that does not complete learning;
• calculating, by the state recognition model, a predictive value for training indicating a predicted probability for each of a plurality of road surface conditions, by performing a plurality of operations in which unlearned weights between layers are applied;
• calculating, by the learning unit, a classification loss indicating a difference between the predictive value for training and the label;
• and
• performing, by the learning unit, optimization of updating a weight of the state recognition model to minimize the classification loss.