Training a filter for noise reduction in a hearing device
AssigneeSonova AG
InventorAliaksei Tsitovich
Life of this patent
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AssigneeSonova AG
InventorAliaksei Tsitovich
Estimating the term…
The disclosed technology relates to training a neural network and using that training to design a filter for the hearing device. The training can include training a generative adversarial network (GAN) to determine whether a signal includes intelligible speech, wherein the GAN includes a generator and discriminator. The generator can provide a mixed noise and speech signal to the discriminator can output a signal that reduces noise in the mixed signal. The technology can then determine whether the output signal is intelligible based on a speech metric function or based on feedback from a hearing care expert. The generator and the discriminator can continue to train based on this feedback. And then the trained network can use the settings of the discriminator or information from the design of the discriminator to generate a noise filter for a hearing device.
A computer-implemented method for providing a filter to a hearing device, the method comprising:
A computer program product including instructions that when executed by a processor or processors, cause a device or devices to perform operations, the operations comprising:
A system for providing a filter to a hearing device, the system comprising:
Dependencies are inferred from the claim text.