Invention Grant
- Patent Title: Rendering scene-aware audio using neural network-based acoustic analysis
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Application No.: US16674924Application Date: 2019-11-05
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Publication No.: US11190898B2Publication Date: 2021-11-30
- Inventor: Zhenyu Tang , Timothy Langlois , Nicholas Bryan , Dingzeyu Li
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Keller Jolley Preece
- Main IPC: H04S7/00
- IPC: H04S7/00 ; G06N3/08 ; G06N3/04

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.
Public/Granted literature
- US20210136510A1 RENDERING SCENE-AWARE AUDIO USING NEURAL NETWORK-BASED ACOUSTIC ANALYSIS Public/Granted day:2021-05-06
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