ACOUSTIC MACHINE LEARNING WITH TRANSPARENT AND INTERPRETABLE ADAPTATION OF ACOUSTIC DATA BETWEEN ENVIRONMENTS
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United States of America Patent
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Aug 8, 2024
app pub date -
Feb 2, 2023
filing date -
Feb 2, 2023
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Abstract
In various examples, a computer-implemented method includes: receiving, by one or more processing devices, acoustic content data; receiving, by the one or more processing devices, acoustic data for a target environment; training, by the one or more processing devices, a neural network model on the acoustic data for the target environment to extract features of the target environment; using, by the one or more processing devices, the neural network model to transfer the features of the target environment to the acoustic content data; constructing, by the one or more processing devices, the acoustic content data with the transferred features of the target environment; and outputting, by the one or more processing devices, via a user interface (UI), information on and configurable options for the training of the neural network model on the acoustic data for the target environment.
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