DEEP LEARNING-BASED AUDIO EQUALIZATION METHOD, DEVICE AND SYSTEM

摘要

A deep learning-based audio equalization method, device (500) and system (600). The method comprises: extracting features from audio data to obtain audio data features; using a trained audio equalization model to generate, on the basis of the audio data features, a suggested audio equalization result to apply to the audio data. The invention employs a deep neural network and unsupervised deep learning to solve the problem of performing audio equalization on music without category tags or music of an unknown style, and performs computation according to user preferences, thereby realizing more reasonable and diverse audio equalization, and satisfying customization requirements.