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公开(公告)号:US20210287662A1
公开(公告)日:2021-09-16
申请号:US17331596
申请日:2021-05-26
Applicant: Gracenote, Inc.
Inventor: Matthew McCallum
Abstract: Methods, apparatus, and systems are disclosed to segment audio and determine audio segment similarities. An example apparatus includes at least one memory storing instructions and processor circuitry to execute instructions to at least select an anchor index beat of digital audio, identify a first segment of the digital audio based on the anchor index beat to analyze, the first segment having at least two beats and a respective center beat, concatenate time-frequency data of the at least two beats and the respective center beat to form a matrix of the first segment, generate a first deep feature based on the first segment, the first deep feature indicative of a descriptor of the digital audio, and train internal coefficients to classify the first deep feature as similar to a second deep feature based on the descriptor of the first deep feature and a descriptor of a second deep feature.
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公开(公告)号:US20230245645A1
公开(公告)日:2023-08-03
申请号:US18298044
申请日:2023-04-10
Applicant: Gracenote, Inc.
Inventor: Matthew McCallum
CPC classification number: G10L15/04 , G10L15/063 , G10L15/16
Abstract: Methods, apparatus, and systems are disclosed to segment audio and determine audio segment similarities. An example apparatus includes at least one memory storing instructions and processor circuitry to execute instructions to at least select an anchor index beat of digital audio, identify a first segment of the digital audio based on the anchor index beat to analyze, the first segment having at least two beats and a respective center beat, concatenate time-frequency data of the at least two beats and the respective center beat to form a matrix of the first segment, generate a first deep feature based on the first segment, the first deep feature indicative of a descriptor of the digital audio, and train internal coefficients to classify the first deep feature as similar to a second deep feature based on the descriptor of the first deep feature and a descriptor of a second deep feature.
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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.
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公开(公告)号:US11024288B2
公开(公告)日:2021-06-01
申请号:US16121034
申请日:2018-09-04
Applicant: Gracenote, Inc.
Inventor: Matthew McCallum
Abstract: Methods, apparatus, systems and articles of manufacture to segment audio and determine audio segment similarities are disclosed. A disclosed example method includes developing features characterizing audio with a neural network, computing a self-similarity matrix based on the features, and identifying segments of the audio based on the self-similarity matrix.
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公开(公告)号:US11657798B2
公开(公告)日:2023-05-23
申请号:US17331596
申请日:2021-05-26
Applicant: Gracenote, Inc.
Inventor: Matthew McCallum
IPC: G10L19/022 , G10L15/04 , G10L15/06 , G10L15/16
CPC classification number: G10L15/04 , G10L15/063 , G10L15/16
Abstract: Methods, apparatus, and systems are disclosed to segment audio and determine audio segment similarities. An example apparatus includes at least one memory storing instructions and processor circuitry to execute instructions to at least select an anchor index beat of digital audio, identify a first segment of the digital audio based on the anchor index beat to analyze, the first segment having at least two beats and a respective center beat, concatenate time-frequency data of the at least two beats and the respective center beat to form a matrix of the first segment, generate a first deep feature based on the first segment, the first deep feature indicative of a descriptor of the digital audio, and train internal coefficients to classify the first deep feature as similar to a second deep feature based on the descriptor of the first deep feature and a descriptor of a second deep feature.
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公开(公告)号:US11223340B2
公开(公告)日:2022-01-11
申请号:US16661975
申请日:2019-10-23
Applicant: GRACENOTE, INC.
Inventor: Robert Coover , Cameron Aubrey Summers , Joseph Renner , Markus Cremer , Warren Mansfield , Matthew McCallum
IPC: H03G5/16 , H04R3/04 , G06N3/08 , G10L25/51 , G06F3/16 , G06N3/04 , G10L25/30 , H04N9/87 , H04N21/439 , H04N21/45 , H03F3/181
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to adjust audio playback settings. 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; an EQ personalization manager to; generate a personalized EQ setting; and an EQ adjustment implementor to: blend the personalized EQ setting and the filter coefficient to generate a blended equalization; and apply the blended equalization to the audio signal in a first duration.
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公开(公告)号:US20200074982A1
公开(公告)日:2020-03-05
申请号:US16121034
申请日:2018-09-04
Applicant: Gracenote, Inc.
Inventor: Matthew McCallum
Abstract: Methods, apparatus, systems and articles of manufacture to segment audio and determine audio segment similarities are disclosed. A disclosed example method includes developing features characterizing audio with a neural network, computing a self-similarity matrix based on the features, and identifying segments of the audio based on the self-similarity matrix.
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公开(公告)号:US20250037706A1
公开(公告)日:2025-01-30
申请号:US18890424
申请日:2024-09-19
Applicant: Gracenote, Inc.
Inventor: Matthew McCallum
Abstract: Methods, apparatus, and systems are disclosed to segment audio and determine audio segment similarities. An example apparatus includes at least one memory storing instructions and processor circuitry to execute instructions to at least select an anchor index beat of digital audio, identify a first segment of the digital audio based on the anchor index beat to analyze, the first segment having at least two beats and a respective center beat, concatenate time-frequency data of the at least two beats and the respective center beat to form a matrix of the first segment, generate a first deep feature based on the first segment, the first deep feature indicative of a descriptor of the digital audio, and train internal coefficients to classify the first deep feature as similar to a second deep feature based on the descriptor of the first deep feature and a descriptor of a second deep feature.
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公开(公告)号:US12125472B2
公开(公告)日:2024-10-22
申请号:US18298044
申请日:2023-04-10
Applicant: Gracenote, Inc.
Inventor: Matthew McCallum
CPC classification number: G10L15/04 , G10L15/063 , G10L15/16
Abstract: Methods, apparatus, and systems are disclosed to segment audio and determine audio segment similarities. An example apparatus includes at least one memory storing instructions and processor circuitry to execute instructions to at least select an anchor index beat of digital audio, identify a first segment of the digital audio based on the anchor index beat to analyze, the first segment having at least two beats and a respective center beat, concatenate time-frequency data of the at least two beats and the respective center beat to form a matrix of the first segment, generate a first deep feature based on the first segment, the first deep feature indicative of a descriptor of the digital audio, and train internal coefficients to classify the first deep feature as similar to a second deep feature based on the descriptor of the first deep feature and a descriptor of a second deep feature.
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