EAR-WORN DEVICE WITH PARALLEL NEURAL NETWORKS

1 . An ear-worn device, comprising:

neural network circuitry configured to implement a neural network system comprising at least a first neural network and a second neural network configured to operate in parallel; and

control circuitry configured to control the neural network system to:

reset one or more states of the first neural network;

receive a first audio signal subsequent to resetting the one or more states of the first neural network;

process the first audio signal using the first neural network to produce a first output and using the second neural network to produce a second output; and

combine the first output and the second output using a first weight for the first output and a second weight for the second output, wherein the second weight is greater than the first weight.

2 . The ear-worn device of claim 1 , wherein the control circuitry is configured to:

reset the one or more states of the first neural network at one or more first reset times; and

reset one or more states of the second neural network at one or more second reset times;

wherein the one or more second reset times are different from the one or more first reset times.

3 . The ear-worn device of claim 1 , wherein:

the neural network is further configured to:

receive a second audio signal subsequent to combining the first output and the second output;

process the second audio signal using the first neural network to produce a third output and using the second neural network to produce a fourth output;

combine the third output and the fourth output using a third weight for the third output and a fourth weight for the fourth output, wherein the third weight is greater than the first weight; and

reset one or more states of the second neural network subsequent to receiving the second audio signal.

4 . The ear-worn device of claim 3 , wherein the control circuitry is further configured to control the neural network system to:

receive a third audio signal subsequent to resetting the one or more states of the second neural network;

process the third audio signal using the first neural network to produce a fifth output and using the second neural network to produce a sixth output;

combine the fifth output and the sixth output using a fifth weight for the fifth output and a sixth weight for the sixth output, wherein the fifth weight is greater than the sixth weight;

receive a fourth audio signal subsequent to receiving the third audio signal;

process the fourth audio signal using the first neural network to produce a seventh output and using the second neural network to produce an eight output; and

combine the seventh output and the eighth output using a seventh weight for the seventh output and an eighth weight for the eighth output, wherein the eighth weight is greater than the sixth weight.

5 . The ear-worn device of claim 1 , wherein all layers of the first neural network are configured to process the first audio signal and fewer than all layers of the second neural network are configured to process the first audio signal.

6 . The ear-worn device of claim 5 , wherein the neural network system is configured, when resetting the one or more states of the first neural network, to reset one or more states of a particular layer of the first neural network.

7 . The ear-worn device of claim 6 , wherein the neural network system is further configured to reset one or more states of a different layer of the first neural network subsequent to resetting the one or more states of the particular layer of the first neural network.

8 . The ear-worn device of claim 7 , wherein a time between resetting the one or more states of the particular layer of the first neural network and resetting the one or more states of the different layer of the first neural network is approximately equal to 1 second, approximately equal to 60 seconds, or between 1 second and 60 seconds.

9 . The ear-worn device of claim 6 , wherein the neural network system is configured, when processing the first audio signal using the first neural network to produce the first output and using the second neural network to produce the second output, to process the first audio signal using one layer of the first neural network to produce the first output and to process the first audio signal using one layer of the second neural network to produce the second output.

10 . The ear-worn device of claim 9 , wherein the neural network system is further configured to feed the combined first and second outputs to a subsequent layer of the first neural network.

11 . The ear-worn device of claim 1 , wherein the neural network system is configured to run the first neural network for a warmup period subsequent to resetting the one or more states of the first neural network and to weight an output of the first neural network at zero during the warmup period.

12 . The ear-worn device of claim 1 , wherein the neural network system is configured to turn off the first neural network for an off period prior to resetting the one or more states of the first neural network.

13 . The ear-worn device of claim 1 , wherein weights applied to outputs of the first neural network depend, at least in part, on how much time has elapsed since resetting the one or more states of the first neural network.

14 . The ear-worn device of claim 13 , wherein weights applied to outputs of the first neural network transition from low to high after resetting the one or more states of the first neural network, and then transition from high to low prior to a next resetting of one or more states of the first neural network.

15 . The ear-worn device of claim 1 , wherein the neural network circuitry is implemented on a chip.

16 . The ear-worn device of claim 1 , wherein the first output from the first neural network comprises a combination of multiple outputs from the first neural network, and the neural network system is configured to wait until the first neural network has produced the multiple outputs prior to determining the first output.

17 . The ear-worn device of claim 1 , wherein the first and second weights are determined from a weighting scheme comprising a linear piecewise function or a smooth function.

18 . The ear-worn device of claim 1 , wherein the first neural network and the second neural network are trained to reduce noise in audio signals.

19 . The ear-worn device of claim 1 , wherein the first neural network and the second neural network comprise a same architecture and same weights.

20 . The ear-worn device of claim 1 , wherein the first neural network and the second neural network comprise recurrent neural networks.