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

IPC: H04R3/04 ,  B60K35/00 ,  G06F3/0482 ,  G06F9/54 ,  G06N3/08 ,  G06N20/00 ,  B60K35/10 ,  B60K35/26

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.

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

IPC: G06N3/08 ,  G06F3/16 ,  G06N3/04 ,  G10L25/30 ,  G10L25/51 ,  H03G5/16

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.

公开(公告)号：US11881012B2

公开(公告)日：2024-01-23

申请号：US17226841

申请日：2021-04-09

Applicant: Gracenote, Inc.

Inventor： Joseph Renner ,  Aneesh Vartakavi ,  Robert Coover

IPC: G06V10/82 ,  H04N21/81 ,  G06N3/049 ,  G06N3/08 ,  H04N21/234 ,  G06V20/40 ,  G06F18/24 ,  G06F18/2413 ,  G06V10/80

CPC classification number: G06V10/82 ,  G06F18/24 ,  G06F18/2413 ,  G06N3/049 ,  G06N3/08 ,  G06V10/806 ,  G06V20/41 ,  G06V20/46 ,  H04N21/23424 ,  H04N21/812

Abstract: In one aspect, an example method includes (i) extracting a sequence of audio features from a portion of a sequence of media content; (ii) extracting a sequence of video features from the portion of the sequence of media content; (iii) providing the sequence of audio features and the sequence of video features as an input to a transition detector neural network that is configured to classify whether or not a given input includes a transition between different content segments; (iv) obtaining from the transition detector neural network classification data corresponding to the input; (v) determining that the classification data is indicative of a transition between different content segments; and (vi) based on determining that the classification data is indicative of a transition between different content segments, outputting transition data indicating that the portion of the sequence of media content includes a transition between different content segments.

公开(公告)号：US11218125B2

公开(公告)日：2022-01-04

申请号：US16661973

申请日：2019-10-23

Applicant: GRACENOTE, INC

Inventor： Robert Coover ,  Cameron Aubrey Summers ,  Todd Hodges ,  Joseph Renner ,  Markus Cremer ,  Matthew McCallum

IPC: H03G5/16 ,  G10L25/30 ,  H04R3/04 ,  G06N3/08 ,  G10L25/51 ,  G06F3/16 ,  G06N3/04 ,  H04N9/87 ,  H04N21/439 ,  H04N21/45 ,  H03F3/181

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to adjust audio playback settings based on analysis of audio characteristics. Example apparatus disclosed herein include an equalization (EQ) model query generator to generate a query to a neural network, the query including a representation of a sample of an audio signal; an EQ filter settings analyzer to: access a plurality of audio playback settings determined by the neural network based on the query; and determine a filter coefficient to apply to the audio signal based on the plurality of audio playback settings; and an EQ adjustment implementer to apply the filter coefficient to the audio signal in a first duration.

公开(公告)号：US20250056092A1

公开(公告)日：2025-02-13

申请号：US18929188

申请日：2024-10-28

Applicant: GRACENOTE, INC.

Inventor： Robert Coover ,  Cameron Aubrey Summers ,  Joseph Renner ,  Markus Cremer ,  Warren Mansfield

IPC: H04N21/442 ,  G06F3/16 ,  G06N3/04 ,  G06N3/08 ,  G10L25/30 ,  G10L25/51 ,  H03F3/181 ,  H03G5/16 ,  H04N9/87 ,  H04N21/439 ,  H04N21/45 ,  H04R3/04

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for playback using pre-processed profile information and personalization. Example apparatus disclosed herein include a synchronizer to, in response to receiving a media signal to be played on a playback device, access an equalization (EQ) profile corresponding to the media signal; an EQ personalization manager to generate a personalized EQ setting; and an EQ adjustment implementor to modify playback of the media signal on the playback device based on a blended equalization generated based on the EQ profile and the personalized EQ setting.

公开(公告)号：US20250037449A1

公开(公告)日：2025-01-30

申请号：US18911726

申请日：2024-10-10

Applicant: Gracenote, Inc.

Inventor： Joseph Renner ,  Aneesh Vartakavi ,  Robert Coover

IPC: G06V10/82 ,  G06F18/24 ,  G06F18/2413 ,  G06N3/049 ,  G06N3/08 ,  G06V10/80 ,  G06V20/40 ,  H04N21/234 ,  H04N21/81

Abstract: In one aspect, an example method includes (i) extracting a sequence of audio features from a portion of a sequence of media content; (ii) extracting a sequence of video features from the portion of the sequence of media content; (iii) providing the sequence of audio features and the sequence of video features as an input to a transition detector neural network that is configured to classify whether or not a given input includes a transition between different content segments; (iv) obtaining from the transition detector neural network classification data corresponding to the input; (v) determining that the classification data is indicative of a transition between different content segments; and (vi) based on determining that the classification data is indicative of a transition between different content segments, outputting transition data indicating that the portion of the sequence of media content includes a transition between different content segments.

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

IPC: G06N3/08 ,  G06F3/16 ,  G06N3/04 ,  G10L25/51 ,  H03G5/16 ,  G10L25/30

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.

公开(公告)号：US20230308718A1

公开(公告)日：2023-09-28

申请号：US18186725

申请日：2023-03-20

Applicant: GRACENOTE, INC.

Inventor： Joseph Renner ,  Robert Coover ,  Markus Cremer ,  Cameron Aubrey Summers

IPC: H04N21/442 ,  H03G5/16 ,  H04R3/04 ,  G06N3/08 ,  G10L25/51 ,  G06F3/16 ,  G06N3/04 ,  G10L25/30 ,  H04N9/87 ,  H04N21/439 ,  H04N21/45

CPC classification number: H04N21/44224 ,  G06F3/165 ,  G06N3/04 ,  G06N3/08 ,  G10L25/30 ,  G10L25/51 ,  H03G5/165 ,  H04N9/87 ,  H04N21/439 ,  H04N21/4524 ,  H04R3/04 ,  H03F3/181

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for audio equalization. Example instructions disclosed herein cause one or more processors to at least: detect an irregularity in a frequency representation of an audio signal in response to a change in volume between a set of frequency values exceeding a threshold; and adjust a volume at a first frequency value of the set of frequency values to reduce the irregularity..

公开(公告)号：US20250168564A1

公开(公告)日：2025-05-22

申请号：US19029569

申请日：2025-01-17

Applicant: Gracenote, Inc.

Inventor： Robert Coover ,  Joseph Renner ,  Cameron Aubrey Summers

IPC: H04R3/04 ,  B60K35/00 ,  B60K35/10 ,  B60K35/26 ,  G06F3/0482 ,  G06F9/54 ,  G06N3/08 ,  G06N20/00

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.

公开(公告)号：US20240112457A1

公开(公告)日：2024-04-04

申请号：US18539758

申请日：2023-12-14

Applicant: Gracenote, Inc.

Inventor： Joseph Renner ,  Aneesh Vartakavi ,  Robert Coover

IPC: G06V10/82 ,  G06F18/24 ,  G06F18/2413 ,  G06N3/049 ,  G06N3/08 ,  G06V10/80 ,  G06V20/40 ,  H04N21/234 ,  H04N21/81

CPC classification number: G06V10/82 ,  G06F18/24 ,  G06F18/2413 ,  G06N3/049 ,  G06N3/08 ,  G06V10/806 ,  G06V20/41 ,  G06V20/46 ,  H04N21/23424 ,  H04N21/812

Abstract: In one aspect, an example method includes (i) extracting a sequence of audio features from a portion of a sequence of media content; (ii) extracting a sequence of video features from the portion of the sequence of media content; (iii) providing the sequence of audio features and the sequence of video features as an input to a transition detector neural network that is configured to classify whether or not a given input includes a transition between different content segments; (iv) obtaining from the transition detector neural network classification data corresponding to the input; (v) determining that the classification data is indicative of a transition between different content segments; and (vi) based on determining that the classification data is indicative of a transition between different content segments, outputting transition data indicating that the portion of the sequence of media content includes a transition between different content segments.