Augmentation of audiographic images for improved machine learning
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United States of America Patent
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Oct 5, 2021
Grant Date -
Nov 21, 2019
app pub date -
May 20, 2019
filing date -
May 18, 2018
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Abstract
Generally, the present disclosure is directed to systems and methods that generate augmented training data for machine-learned models via application of one or more augmentation techniques to audiographic images that visually represent audio signals. In particular, the present disclosure provides a number of novel augmentation operations which can be performed directly upon the audiographic image (e.g., as opposed to the raw audio data) to generate augmented training data that results in improved model performance. As an example, the audiographic images can be or include one or more spectrograms or filter bank sequences.
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