Patent ID: 11930323
Assignee: LISTEN AND BE HEARD LLC
Field: Audio-visual technology (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 5:
6. The method of claim 1, further comprising:
displaying by the at least one processor a menu comprising a plurality of power conservation modes associated with the tuning profiles within the graphical user interface, wherein the menu of power conservation modes includes a full AI mode;
executing, by the at least one processor, a routine wherein the full AI mode is used to select the tuning profile used for the altering of the input signal in the frequency domain by the at least one processor out of the plurality of tuning profiles, wherein the processor amplifies the input signal according to the selected tuning profile, wherein the routine comprises:
sensing, by the at least one processor, a sound wave from a snapshot in current time from one of a microphone in the earpiece worn by the user or an external microphone;
averaging, by the at least one processor, sound waves sensed from a snapshot in current time in regular or irregular intervals for a cumulative sound wave snapshot over time;
sensing, by the at least one processor, a current location based on a GPS sensor connected to the at least one processor;
capturing, by the at least one processor, an image from a camera connected to the at least one processor;
selecting, by the at least one processor, a tuning profile out of the plurality of tuning profiles according to a first time-based metric comparing, by the at least one processor, the sensed cumulative sound wave snapshot over time to a history of previously stored cumulative sound wave snapshots at various times;
selecting, by the at least one processor, a tuning profile out of the plurality of tuning profiles according to a second location-based metric comparing, by the at least one processor, the currently sensed location to a history of previously marked distances at different times, wherein each previously marked distance is associated with a particular tuning profile out of the plurality of tuning profiles;
selecting, by the at least one processor, a tuning profile out of the plurality of tuning profiles according to a third image-based metric comparing a currently captured image from the connected camera to a history of past images taken from the same camera at various timepoints; and
inputting, by the at least one processor, the selected tuning profiles from the first time-based metric, the second location-based metric, and the third image-based metric as further inputs into a neural network, and selecting, by the at least one processor, the tuning profile to use for sound modulation based on the output of the neural network.