首页> 外国专利> RENDERING SCENE-AWARE AUDIO USING NEURAL NETWORK-BASED ACOUSTIC ANALYSIS

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

机译:使用基于神经网络的声学分析渲染场景感知音频

摘要

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.
机译:用于基于用户环境的声学特性呈现场景感知音频的方法,系统和非暂时性计算机可读存储介质。例如,所公开的系统可以使用神经网络来分析音频记录以预测环境均衡和用户环境的混响衰减时间而不使用用户环境的捕获的脉冲响应。另外,所公开的系统可以使用预测的混响衰减时间与用户环境的音频模拟以优化用户环境的材料参数。然后,所公开的系统可以生成基于预测环境均衡,材料参数和用户环境的环境几何形状的场景感知声学属性的音频样本。此外,所公开的系统可以使用与测量和合成脉冲响应相关联的频率相关的均衡信息来增加用于训练神经网络的训练数据。

著录项

  • 公开/公告号US2021136510A1

    专利类型

  • 公开/公告日2021-05-06

    原文格式PDF

  • 申请/专利权人 ADOBE INC.;

    申请/专利号US201916674924

  • 申请日2019-11-05

  • 分类号H04S7;G06N3/04;G06N3/08;

  • 国家 US

  • 入库时间 2022-08-24 18:34:12

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