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    Methods and apparatus for audio equalization based on variant selection
    1.
    发明授权
    Methods and apparatus for audio equalization based on variant selection 有权

    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.

    Methods and Apparatus for Audio Equalization Based on Variant Selection
    2.
    发明申请
    Methods and Apparatus for Audio Equalization Based on Variant Selection 有权

    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.

    Methods and apparatus for volume adjustment
    3.
    发明授权
    Methods and apparatus for volume adjustment 有权

    公开(公告)号：US12149220B2

    公开(公告)日：2024-11-19

    申请号：US18486816

    申请日：2023-10-13

    Applicant: GRACENOTE, INC.

    Inventor： Robert Coover ,  Jeffrey Scott ,  Markus K. Cremer ,  Aneesh Vartakavi

    IPC: H03G3/30 ,  H03F3/183 ,  H03G3/02 ,  H03G7/00 ,  H04R3/00

    Abstract: Apparatus, systems, articles of manufacture, and methods for volume adjustment are disclosed herein. An example method includes collecting data corresponding to a volume of an audio signal as the audio signal is output through a device, when an average volume of the audio signal does not satisfy a volume threshold for a specified timespan, determining a difference between the average volume and a desired volume, and applying a gain to the audio signal to adjust the volume of the audio signal to the desired volume, the gain determined based on the difference between the average volume and the desired volume.

    Systems, methods, and apparatus to improve media identification
    4.
    发明授权
    Systems, methods, and apparatus to improve media identification 有权

    公开(公告)号：US12079277B2

    公开(公告)日：2024-09-03

    申请号：US17114230

    申请日：2020-12-07

    Applicant: Gracenote, Inc.

    Inventor： Jeffrey Scott ,  Matthew James Wilkinson ,  Robert Coover ,  Shashank Merchant

    IPC: G06F16/901 ,  G06F16/65 ,  G06F16/683 ,  G06F18/2115

    CPC classification number: G06F16/9014 ,  G06F16/65 ,  G06F16/683 ,  G06F18/2115 ,  G06F2218/16

    Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to improve media identification. An example apparatus includes a hash handler to generate a first set of reference matches by performing hash functions on a subset of media data associated with media to generate hashed media data based on a first bucket size, a candidate determiner to identify a second set of reference matches that include ones of the first set, the second set including ones having first quantities of hits that did not satisfy a threshold, determine second quantities of hits for ones of the second set by matching ones to the hash tables based on a second bucket size, and identify one or more candidate matches based on at least one of (1) ones of the first set or (2) ones of the second set, and a report generator to generate a report including a media identification.

    COVER SONG IDENTIFICATION METHOD AND SYSTEM
    8.
    发明申请
    COVER SONG IDENTIFICATION METHOD AND SYSTEM 有权

    公开(公告)号：US20220208217A1

    公开(公告)日：2022-06-30

    申请号：US17335657

    申请日：2021-06-01

    Applicant: Gracenote, Inc.

    Inventor： Xiaochen Liu ,  Joseph P. Renner ,  Joshua E. Morris ,  Todd J. Hodges ,  Robert Coover ,  Zafar Rafii

    IPC: G10L25/90 ,  G10L19/022 ,  G06F16/683 ,  G06F16/632 ,  G06N20/00 ,  G06N3/08

    Abstract: A cover song identification method implemented by a computing system comprises receiving, by a computing system and from a user device, harmonic pitch class profile (HPCP) information that specifies one or more HPCP features associated with target audio content. A major chord profile feature and a minor chord profile feature associated with the target audio content are derived from the HPCP features. Machine learning logic of the computing system determines, based on the major chord profile feature and the minor chord profile feature, a relatedness between the target audio content and each of a plurality of audio content items specified in records of a database. Each audio content item is associated with cover song information. Cover song information associated with an audio content item having a highest relatedness to the target audio content is communicated to the user device.

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