Hearing device with multiple neural networks for sound enhancement
Abstract:
An ear-wearable device stores a plurality of neural network data objects each defining a respective neural network. A sound signal received from a microphone of the ear-wearable device is digitized. An ambient environment of the digitized sound signal is classified into one of a plurality of classifications. Based on the classification, one of the neural network data objects is selected to enhance the digitized sound signal. An analog signal is formed based on the enhanced digitized sound signal. The analog signal is reproduced via a receiver of the ear-wearable device.
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