Open active noise cancellation system

An audio system, comprising:

• a first set of sensors that:
• produces sensor data associated with a first position of a user in an environment, and
• produces one or more audio signals associated with sound acquired from the environment;
• a first loudspeaker;
• and
• a processor coupled to the first set of sensors and the first loudspeaker that:
• determines, based on the sensor data, the first position of the user,
• receives, from the first set of sensors, the one or more audio signals,
• identifies one or more noise elements in the one or more audio signals,
• identifies one or more individual speakers in the one or more audio signals by comparing, via a neural network, the one or more audio signals with learned speech elements and speaker characteristics,
• decomposes the one or more audio signals into one or more filtered signals, wherein each filtered signal corresponds to one or more frequency sub-bands of the one or more audio signals, and
• generates, based on the one or more filtered signals, a first directional audio signal
• wherein the first loudspeaker outputs the first directional audio signal to produce, based on the first directional audio signal, a first acoustic field that attenuates the one or more frequency sub-bands associated with the one or more noise elements at the first position and emphasizes one or more frequency sub-bands associated with the one or more individual speakers.

One or more non-transitory computer-readable media comprising instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of:

• determining a first position of a user in an environment;
• acquiring, via a first set of sensors, one or more audio signals associated with sound in the environment;
• identifying one or more noise elements in the one or more audio signals by:
• comparing the one or more audio signals to each reference signal included in a first set of reference signals, and
• when the one or more audio signals match at least one reference signal included in the first set of reference signals, classifying the one or more audio signals as the one or more noise elements;
• identifying one or more individual speakers in the one or more audio signals by comparing, via a neural network, the one or more audio signals with learned speech elements and speaker characteristics;
• decomposing the one or more audio signals into one or more filtered signals, wherein each filtered signal corresponds to one or more frequency sub-bands of the one or more audio signals;
• and
• generating, based on the one or more filtered signals, a first directional audio signal wherein, when the first directional audio signal is outputted by a first loudspeaker, the first loudspeaker produces, based on the first directional audio signal, a first acoustic field that attenuates the one or more frequency sub-bands associated with the one or more noise elements at the first position and emphasizes one or more frequency sub-bands associated with the one or more individual speakers.