ACOUSTIC EVENT DETECTION METHOD BASED ON DEEP LEARNING

摘要

The present disclosure provides an artificial intelligence model based on a fast region convolution long-short-term memory neural network (Fast Region-CNN-LSTM) that extracts a complex feature value included in the acoustic acoustic data based on the acoustic data including at least one sound source. Discloses a method of classifying at least one sound source included in the complex feature value using , and detecting an event using the classified sound source.