RENDERING SCENE-AWARE AUDIO USING NEURAL NETWORK-BASED ACOUSTIC ANALYSIS

    公开(公告)号:US20210136510A1

    公开(公告)日:2021-05-06

    申请号:US16674924

    申请日:2019-11-05

    Applicant: Adobe Inc.

    Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for rendering scene-aware audio based on acoustic properties of a user environment. For example, the disclosed system can use neural networks to analyze an audio recording to predict environment equalizations and reverberation decay times of the user environment without using a captured impulse response of the user environment. Additionally, the disclosed system can use the predicted reverberation decay times with an audio simulation of the user environment to optimize material parameters for the user environment. The disclosed system can then generate an audio sample that includes scene-aware acoustic properties based on the predicted environment equalizations, material parameters, and an environment geometry of the user environment. Furthermore, the disclosed system can augment training data for training the neural networks using frequency-dependent equalization information associated with measured and synthetic impulse responses.

    Generating spatial audio using a predictive model

    公开(公告)号:US10701303B2

    公开(公告)日:2020-06-30

    申请号:US15937349

    申请日:2018-03-27

    Applicant: Adobe Inc.

    Abstract: Certain embodiments involve generating and providing spatial audio using a predictive model. For example, a generates, using a predictive model, a visual representation of visual content provideable to a user device by encoding the visual content into the visual representation that indicates a visual element in the visual content. The system generates, using the predictive model, an audio representation of audio associated with the visual content by encoding the audio into the audio representation that indicates an audio element in the audio. The system also generates, using the predictive model, spatial audio based at least in part on the audio element and associating the spatial audio with the visual element. The system can also augment the visual content using the spatial audio by at least associating the spatial audio with the visual content.

    Providing and utilizing a one-dimensional layer motion element to generate and manage digital animations

    公开(公告)号:US11967011B2

    公开(公告)日:2024-04-23

    申请号:US17653094

    申请日:2022-03-01

    Applicant: Adobe Inc.

    CPC classification number: G06T13/80 G06F3/04845 G06T2200/24

    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and modifying digital animations based on user interactions with a unique user interface portraying a one-dimensional layer motion element and/or elements for generating and utilizing animation path for digital design objects and animation layers. The disclosed system can provide a dynamic one-dimensional layer motion element that adapts to a selected animation layer and portrays selectable animation frames from the animation layer. The disclosed systems can provide options for generating and modifying various frames of the digital animation based on user interactions with the one-dimensional layer motion element, an animation timeline, and/or a corresponding animation canvas. Additionally, in some embodiments, the disclosed systems also generate path animations with complex animation effects based on user selection of animation paths, digital design objects of animation layers, and corresponding selectable path animation feature tools.

    Generating scene-aware audio using a neural network-based acoustic analysis

    公开(公告)号:US11812254B2

    公开(公告)日:2023-11-07

    申请号:US17515918

    申请日:2021-11-01

    Applicant: Adobe Inc.

    CPC classification number: H04S7/305 G06N3/04 G06N3/08 H04S7/307 H04S2400/11

    Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for rendering scene-aware audio based on acoustic properties of a user environment. For example, the disclosed system can use neural networks to analyze an audio recording to predict environment equalizations and reverberation decay times of the user environment without using a captured impulse response of the user environment. Additionally, the disclosed system can use the predicted reverberation decay times with an audio simulation of the user environment to optimize material parameters for the user environment. The disclosed system can then generate an audio sample that includes scene-aware acoustic properties based on the predicted environment equalizations, material parameters, and an environment geometry of the user environment. Furthermore, the disclosed system can augment training data for training the neural networks using frequency-dependent equalization information associated with measured and synthetic impulse responses.

    DYNAMIC PATH ANIMATION OF ANIMATION LAYERS AND DIGITAL DESIGN OBJECTS

    公开(公告)号:US20230281903A1

    公开(公告)日:2023-09-07

    申请号:US17653090

    申请日:2022-03-01

    Applicant: Adobe Inc.

    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and modifying digital animations based on user interactions with a unique user interface portraying a one-dimensional layer motion element and/or elements for generating and utilizing animation path for digital design objects and animation layers. The disclosed system can provide a dynamic one-dimensional layer motion element that adapts to a selected animation layer and portrays selectable animation frames from the animation layer. The disclosed systems can provide options for generating and modifying various frames of the digital animation based on user interactions with the one-dimensional layer motion element, an animation timeline, and/or a corresponding animation canvas. Additionally, in some embodiments, the disclosed systems also generate path animations with complex animation effects based on user selection of animation paths, digital design objects of animation layers, and corresponding selectable path animation feature tools.

    Rendering scene-aware audio using neural network-based acoustic analysis

    公开(公告)号:US11190898B2

    公开(公告)日:2021-11-30

    申请号:US16674924

    申请日:2019-11-05

    Applicant: Adobe Inc.

    Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for rendering scene-aware audio based on acoustic properties of a user environment. For example, the disclosed system can use neural networks to analyze an audio recording to predict environment equalizations and reverberation decay times of the user environment without using a captured impulse response of the user environment. Additionally, the disclosed system can use the predicted reverberation decay times with an audio simulation of the user environment to optimize material parameters for the user environment. The disclosed system can then generate an audio sample that includes scene-aware acoustic properties based on the predicted environment equalizations, material parameters, and an environment geometry of the user environment. Furthermore, the disclosed system can augment training data for training the neural networks using frequency-dependent equalization information associated with measured and synthetic impulse responses.

    GENERATING SPATIAL AUDIO USING A PREDICTIVE MODEL

    公开(公告)号:US20190306451A1

    公开(公告)日:2019-10-03

    申请号:US15937349

    申请日:2018-03-27

    Applicant: Adobe Inc.

    Abstract: Certain embodiments involve generating and providing spatial audio using a predictive model. For example, a generates, using a predictive model, a visual representation of visual content provideable to a user device by encoding the visual content into the visual representation that indicates a visual element in the visual content. The system generates, using the predictive model, an audio representation of audio associated with the visual content by encoding the audio into the audio representation that indicates an audio element in the audio. The system also generates, using the predictive model, spatial audio based at least in part on the audio element and associating the spatial audio with the visual element. The system can also augment the visual content using the spatial audio by at least associating the spatial audio with the visual content.

    Dynamic path animation of animation layers and digital design objects

    公开(公告)号:US12051143B2

    公开(公告)日:2024-07-30

    申请号:US17653090

    申请日:2022-03-01

    Applicant: Adobe Inc.

    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and modifying digital animations based on user interactions with a unique user interface portraying a one-dimensional layer motion element and/or elements for generating and utilizing animation path for digital design objects and animation layers. The disclosed system can provide a dynamic one-dimensional layer motion element that adapts to a selected animation layer and portrays selectable animation frames from the animation layer. The disclosed systems can provide options for generating and modifying various frames of the digital animation based on user interactions with the one-dimensional layer motion element, an animation timeline, and/or a corresponding animation canvas. Additionally, in some embodiments, the disclosed systems also generate path animations with complex animation effects based on user selection of animation paths, digital design objects of animation layers, and corresponding selectable path animation feature tools.

    PROVIDING AND UTILIZING A ONE-DIMENSIONAL LAYER MOTION ELEMENT TO GENERATE AND MANAGE DIGITAL ANIMATIONS

    公开(公告)号:US20230281904A1

    公开(公告)日:2023-09-07

    申请号:US17653094

    申请日:2022-03-01

    Applicant: Adobe Inc.

    CPC classification number: G06T13/80 G06F3/04845 G06T2200/24

    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and modifying digital animations based on user interactions with a unique user interface portraying a one-dimensional layer motion element and/or elements for generating and utilizing animation path for digital design objects and animation layers. The disclosed system can provide a dynamic one-dimensional layer motion element that adapts to a selected animation layer and portrays selectable animation frames from the animation layer. The disclosed systems can provide options for generating and modifying various frames of the digital animation based on user interactions with the one-dimensional layer motion element, an animation timeline, and/or a corresponding animation canvas. Additionally, in some embodiments, the disclosed systems also generate path animations with complex animation effects based on user selection of animation paths, digital design objects of animation layers, and corresponding selectable path animation feature tools.

    GENERATING SCENE-AWARE AUDIO USING A NEURAL NETWORK-BASED ACOUSTIC ANALYSIS

    公开(公告)号:US20220060842A1

    公开(公告)日:2022-02-24

    申请号:US17515918

    申请日:2021-11-01

    Applicant: Adobe Inc.

    Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for rendering scene-aware audio based on acoustic properties of a user environment. For example, the disclosed system can use neural networks to analyze an audio recording to predict environment equalizations and reverberation decay times of the user environment without using a captured impulse response of the user environment. Additionally, the disclosed system can use the predicted reverberation decay times with an audio simulation of the user environment to optimize material parameters for the user environment. The disclosed system can then generate an audio sample that includes scene-aware acoustic properties based on the predicted environment equalizations, material parameters, and an environment geometry of the user environment. Furthermore, the disclosed system can augment training data for training the neural networks using frequency-dependent equalization information associated with measured and synthetic impulse responses.

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