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

Patent №

US 11,190,898

Granted

2021-11-30

Filed 2019

Owner

ADOBE INC.

Lab

AI components

1

ml

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16674924

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.

Machine learningH04S 7/305G06N 3/04G06N 3/045G06N 3/0464G06N 3/08G06N 3/084G06N 3/09H04S 7/307+2 more

AI classification

Machine learning1.00
Speech0.04
Natural language0.02
Vision0.01
Planning0.00
AI hardware0.00
Evolutionary computation0.00
Knowledge representation0.00

Ownership

ADOBE INC.

assignment · 509220837

Assignors

TANG, ZHENYU, LANGLOIS, TIMOTHY, BRYAN, NICHOLAS, LI, DINGZEYU

On an employer assignment, the assignors are typically the inventors.

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