Noise Reduction Based on Dynamic Neural Networks

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United States of America Patent

APP PUB NO 20240203439A1
SERIAL NO

18285940

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Abstract

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A hybrid noise-reducer provides an output audio signal by carrying out noise reduction on an input audio signal over a desired range of frequencies. The desired range of frequencies consists of the union of a base range of frequencies and a remainder range of frequencies. The noise reducer includes first and second noise-reduction paths of different types. The first noise-reduction path relies on a dynamic neural network that has been trained using the base range of frequencies. The second noise-reduction path relies on a noise estimation module that uses an estimate of signal-to-noise ratio estimate to identify noise within the remainder range.

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Patent OwnerAddress
CERENCE OPERATING COMPANYONE BURLINGTON WOODS DRIVE SUITE 301A BURLINGTON MA 01803

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Buck, Markus Ulm, DE 94 3418
Faubel, Friedrich Ulm, DE 14 24
Haulick, Tim Ulm, DE 65 2337

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