- 专利标题: Rendering scene-aware audio using neural network-based acoustic analysis
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申请号: US16674924申请日: 2019-11-05
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公开(公告)号: US11190898B2公开(公告)日: 2021-11-30
- 发明人: Zhenyu Tang , Timothy Langlois , Nicholas Bryan , Dingzeyu Li
- 申请人: Adobe Inc.
- 申请人地址: US CA San Jose
- 专利权人: Adobe Inc.
- 当前专利权人: Adobe Inc.
- 当前专利权人地址: US CA San Jose
- 代理机构: Keller Jolley Preece
- 主分类号: H04S7/00
- IPC分类号: H04S7/00 ; G06N3/08 ; G06N3/04
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.
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