Learnable heuristics to optimize a multi-hypothesis filtering system
AssigneeDolby Laboratories Licensing Corporation
InventorsHadis Nosrati, Benjamin John Southwell
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Abstract
Some disclosed methods involve receiving microphone signals from a microphone system, including signals corresponding to one or more sounds detected by the microphone system. Some methods may involve determining, via a trained neural network, a filtering scheme for the microphone signals, the filtering scheme including one or more filtering processes. The trained neural network may be configured to implement one or more subband-domain adaptive filter management modules. Some methods may involve applying the filtering scheme to the microphone signals, to produce enhanced microphone signals.
Claims17
An audio device, comprising:
- a microphone system;
- and
- a control system configured to:
- receive microphone signals from the microphone system, the microphone signals including signals corresponding to one or more sounds detected by the microphone system;
- determine, via a trained neural network, a filtering scheme for the microphone signals, the filtering scheme including one or more filtering processes, wherein the trained neural network is configured to implement one or more subband-domain adaptive filter management modules, the one or more subband-domain adaptive filter management modules configured to control one or more multichannel, multi-hypothesis adaptive filter blocks;
- apply the filtering scheme to the microphone signals, to produce enhanced microphone signals.
Dependencies are inferred from the claim text.