US 12,293,196 B2
Systems and methods for generating wake signals from known users
Kurt F. Busch, Laguna Hills, CA (US); Jeremiah H. Holleman, III, Irvine, CA (US); Pieter Vorenkamp, Laguna Beach, CA (US); Stephen W. Bailey, Irvine, CA (US); and David Christopher Garrett, Tustin, CA (US)
Assigned to SYNTIANT, Irvine, CA (US)
Filed by SYNTIANT, Irvine, CA (US)
Filed on Jan. 16, 2021, as Appl. No. 17/151,152.
Claims priority of provisional application 62/962,316, filed on Jan. 17, 2020.
Prior Publication US 2021/0224078 A1, Jul. 22, 2021
Int. Cl. G06F 15/177 (2006.01); G06F 9/00 (2018.01); G06F 9/4401 (2018.01); G06F 16/22 (2019.01); G06N 3/042 (2023.01); G06N 3/08 (2023.01)
CPC G06F 9/4418 (2013.01) [G06F 16/22 (2019.01); G06N 3/042 (2023.01); G06N 3/08 (2013.01)] 19 Claims
OG exemplary drawing
 
1. An integrated circuit, comprising:
a co-processor configured to remain in a low-power, always-on state, the co-processor including an artificial neural network configured to:
generate a wake signal and transmit the wake signal to a host processor; and
identify one or more target signals among one or more signals;
the host processor comprising a keyword identifier host processor configured to receive weighting signals;
wherein synaptic weights of the artificial neural network are; i) modified dynamically based on feedback; ii) accessible in absence of a connection to a communications network; and iii) accessed by a signal detector to differentiate between signals received by the signal detector in absence of the connection to the communications network;
a communications interface between the host processor and the co-processor configured to transmit information therebetween; and
wherein the integrated circuit is configured to operate without an active connection to the communications network.