Patent ID: 11875807
Assignee: ANKER INNOVATIONS TECHNOLOGY CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G

Claim 0:
1. A method comprising:
extracting, by a computing device, audio data features from audio data;
extracting one or more features of music preferences of a user from a music preference list of the user;
determining, based on the audio data features and the one or more features of music preferences of the user, a trained audio equalization model, wherein the determining the trained audio equalization model comprises:
determining, based on user preference audio of an audio database, audio data features of user preference audio data;
training a restricted Boltzmann machine (RBM) model using the extracted audio data features of the user preference audio data as visual layer inputs;
determining hidden layer features based on inputting the extracted audio data features of the user preference audio data into a visual layer of the trained RBM model;
classifying the hidden layer features based on inputting the hidden layer features into a trained clustering mode;
determining, based on the classified hidden layer features, average hidden layer features;
performing, based on the average hidden layer features and the RBM model, an inverse computation;
determining, based on the inverse computation, an average audio data feature of the audio database; and
training a user preference RBM model based on extracting audio features from the music preference list of the user and using the extracted audio features from the music preference list of the user as visual layer input for the trained RBM model; and

generating, based on the trained audio equalization model, an audio equalization result.