Deep neural network of multiple audio streams for location determination and environment monitoring
AssigneePointr Data Inc.
InventorsSaran Saund, Nurettin Burcak Beser, Paul Aerick Lambert
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Abstract
A system for monitoring an environment is disclosed. In various embodiments, the system includes an artificial neural network; a plurality of microphones positioned about the environment, the plurality of microphones configured to feed one or more audio signals to an input layer of the artificial neural network; and a first camera positioned within the environment, the first camera configured to determine location data for input to the artificial neural network.
Claims20
A system for monitoring an environment, comprising:
- an artificial neural network;
- a plurality of microphones positioned about the environment, the plurality of microphones configured to feed one or more audio signals to an input layer of the artificial neural network;
- and
- a first camera positioned within the environment, the first camera configured to determine location data for input to the artificial neural network.
A method for training an artificial neural network to identity a source of sound and a location of the source of sound within an environment, comprising:
- generating an audio signal representing the source of sound and the location of the source of sound;
- providing the audio signal to an input layer of the artificial neural network;
- propagating the audio signal through the artificial neural network and generating an output signal regarding the source of sound and the location of the source of sound;
- determining an error signal based on the output signal and location data concerning the location of the source of sound;
- and
- backpropagating the error signal to update a plurality of weights within the artificial neural network.
A system for monitoring an environment, comprising:
- a data processor, including an artificial neural network, a pre-processor to the artificial neural network and a post-processor;
- a plurality of microphones positioned about the environment, the plurality of microphones configured to feed one or more audio signals to the pre-processor to filter the one or more audio signals prior to being fed to an input layer of the artificial neural network;
- and
- a first camera positioned within the environment, the first camera configured to determine location data for input to the artificial neural network.
Dependencies are inferred from the claim text.