SYSTEMS AND METHODS FOR MODELING AN AUDIO SYSTEM
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United States of America
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Apr 3, 2025
app pub date -
Oct 2, 2024
filing date -
Oct 2, 2024
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Abstract
A closed loop system with trainable parameters and known dynamics is trained to model a reference audio system. Solving the closed loop equations in continuous time can involve an implicit solver. Training may be carried out by repeating a set of operations. The set of operations may include computing in the time domain (via the closed loop system) a model output, based upon an input. The output is expected to approximate the output of the reference audio system. The set of operations may further include applying a loss function, where the loss function measures the difference between the output of the closed loop system and the output of the reference audio system. The set of operations also includes adjusting the trainable parameters according to the output of the loss function. The training produces an output model that can be used to filter input signals.
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