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公开(公告)号：US12165062B2
公开(公告)日：2024-12-10
申请号：US18048615
申请日：2022-10-21
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：US12238492B2
公开(公告)日：2025-02-25
申请号：US18403552
申请日：2024-01-03
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 equalize audio includes at least one memory, machine readable instructions, and processor circuity to at least one of instantiate or execute the machine readable instructions to train a neural network model to apply a first audio equalization profile to first audio associated with a first variant of media, and apply a second audio equalization profile to second audio associated with a second variant of media. The processor circuitry is to at least one of instantiate or execute the machine readable instructions to at least one of dispatch or execute the neural network model.
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公开(公告)号：US20250053809A1
公开(公告)日：2025-02-13
申请号：US18926305
申请日：2024-10-25
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：US11481628B2
公开(公告)日：2022-10-25
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：US11375311B2
公开(公告)日：2022-06-28
申请号：US17039549
申请日：2020-09-30
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 includes an input feature set generator to generate an equalization input feature set by generating a data structure corresponding to a user input, the data structure including a number of entries identifying a selected variant of music and including the data structure in the equalization input feature set, and a model executor to, in response to obtaining the equalization input feature set, adjust at least one weight of a neural network model to generate the equalization adjustments for the audio signal.
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Patent Agency Ranking
公开(公告)号：US11902760B2
公开(公告)日：2024-02-13
申请号：US17846913
申请日：2022-06-22
Applicant: Gracenote, Inc.
Inventor： Robert Coover , Joseph Renner , Cameron A. Summers
CPC classification number: H04R3/04 , B60K35/00 , G06F3/0482 , G06F9/542 , G06N3/08 , G06N20/00 , B60K2370/115 , B60K2370/157 , H04R2499/13
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for audio equalization based on variant selection. An example apparatus to equalize audio includes at least one memory, machine readable instructions, and processor circuitry to at least one of instantiate or execute the machine readable instructions to train a neural network model to apply a first audio equalization profile to first audio associated with a first variant of media, and apply a second audio equalization profile to second audio associated with a second variant of media. The processor circuitry is to at least one of instantiate or execute the machine readable instructions to at least one of dispatch or execute the neural network model.
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公开(公告)号：US20230054864A1
公开(公告)日：2023-02-23
申请号：US18048615
申请日：2022-10-21
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：US20210160615A1
公开(公告)日：2021-05-27
申请号：US17039549
申请日：2020-09-30
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 includes an input feature set generator to generate an equalization input feature set by generating a data structure corresponding to a user input, the data structure including a number of entries identifying a selected variant of music and including the data structure in the equalization input feature set, and a model executor to, in response to obtaining the equalization input feature set, adjust at least one weight of a neural network model to generate the equalization adjustments for the audio signal.
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公开(公告)号：US20240147153A1
公开(公告)日：2024-05-02
申请号：US18403552
申请日：2024-01-03
Applicant: Gracenote, Inc.
Inventor： Robert Coover , Joseph Renner , Cameron A. Summers
CPC classification number: H04R3/04 , B60K35/00 , G06F3/0482 , G06F9/542 , G06N3/08 , G06N20/00 , B60K35/10 , H04R2499/13
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for audio equalization based on variant selection. An example apparatus to equalize audio includes at least one memory, machine readable instructions, and processor circuity to at least one of instantiate or execute the machine readable instructions to train a neural network model to apply a first audio equalization profile to first audio associated with a first variant of media, and apply a second audio equalization profile to second audio associated with a second variant of media. The processor circuitry is to at least one of instantiate or execute the machine readable instructions to at least one of dispatch or execute the neural network model.
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公开(公告)号：US20220329941A1
公开(公告)日：2022-10-13
申请号：US17846913
申请日：2022-06-22
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 equalize audio includes at least one memory, machine readable instructions, and processor circuitry to at least one of instantiate or execute the machine readable instructions to train a neural network model to apply a first audio equalization profile to first audio associated with a first variant of media, and apply a second audio equalization profile to second audio associated with a second variant of media. The processor circuitry is to at least one of instantiate or execute the machine readable instructions to at least one of dispatch or execute the neural network model.
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