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公开(公告)号：US20210158148A1
公开(公告)日：2021-05-27
申请号：US16696711
申请日：2019-11-26
Applicant: Gracenote, Inc.
Inventor： Robert Coover , Joseph Renner , Cameron A. Summers
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed methods and apparatus for audio equalization based on variant selection. An example apparatus includes a processor to obtain training data, the training data including a plurality of reference audio signals each associated with a variant of music and organize the training data into a plurality of entries based on the plurality of reference audio signals, a training model executor to execute a neural network model using the training data, and a model trainer to train the neural network model by updating at least one weight corresponding to one of the entries in the training data when the neural network model does not satisfy a training threshold.
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公开(公告)号：US10798484B1
公开(公告)日：2020-10-06
申请号：US16696774
申请日：2019-11-26
Applicant: Gracenote, Inc.
Inventor： Robert Coover , Joseph Renner , Cameron A. Summers
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for audio equalization based on variant selection. An example apparatus to generate equalization adjustments for an audio signal based on user input includes a user interface to prompt a user for the user input corresponding to a selected variant of music, and an input feature set generator to generate an equalization input feature set, the equalization input feature set to be used by a model executor to adjust at least one weight of a neural network model to generate example equalization adjustments for the audio signal based on the user input, the equalization input feature set generated by: generating a data structure corresponding to the user input, the data structure including a number of entries identifying the selected variant of music, and including the data structure in the equalization input feature set.
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