The invention involves the employment of a non-acoustical transducer embodying one non-acoustical sensor (or more non-acoustical sensors) which is adapted to sense acoustical sounds. The invention for realizing an Active Noise Cancellation device involves the replacement of the acoustic microphone (or microphones) in the said device with the aforesaid one non-acoustical sensor (or more sensors).

An active noise cancellation system (1) for cancelling environment noise perceived by a driver or passenger seated in a seat (3) mounted in a cabin of a vehicle, in combination with said seat, the seat comprising a seat cushion (19), a seat back (21) coupled to the seat cushion at a bottom end and extending upwards to a seat shoulder (23), and a headrest (22) coupled to the seat back, extending upwardly from the seat shoulder, the active noise cancellation system comprising an active noise cancellation circuit (ANC) (30), a plurality of microphones (10) mounted in the headrest and connected electrically to the ANC, and a plurality of speakers (16) mounted in the seat and connected electrically to the ANC circuit. The plurality of microphones comprises at least one first microphone mounted on a right side of the headrest and at least one second microphone mounted on a left side of the headrest, and the plurality of speakers comprises at least one first speaker mounted in the seat shoulder on a left side and at least one second speaker mounted in the seat shoulder on a right side, the right speaker configured to generate a noise cancellation sound from a noise signal picked up by the right microphone processed by the ANC circuit and the left speaker configured to generate a noise cancellation sound from a noise signal picked up by the left microphone processed by the ANC circuit.

A headset apparatus configured to be worn by a user operating outdoor power equipment. The headset may include a noise cancelling system and/or enhanced glasses.

An electronic device includes one or more pose sensors for detecting a pose of a user of the electronic device relative to a first physical environment and is in communication with one or more audio output devices. While a first pose of the user meets first presentation criteria, the electronic device provides audio content at a first simulated spatial location relative to the user. The electronic device detects a change in the pose of the user from the first pose to a second pose. In response to detecting the change in the pose of the user, and in accordance with a determination that the second pose of the user does not meet the first presentation criteria, the electronic device provides audio content at a second simulated spatial location relative to the user that is different from the first simulated spatial location.

A system includes a microphone unit coupled to a roof of an autonomous vehicle. The microphone unit includes a microphone board having a first opening. The microphone unit also includes a first microphone positioned over the first opening and coupled to the microphone board. The microphone unit further includes an accelerometer. The system also includes a processor coupled to the microphone unit.

Computer-implemented methods, computer program products, and computer systems configured for receiving first audio data from a first computing device via a first microphone, receiving second audio data from a second computing device via a second microphone, detecting a first user utterance having a first user utterance local decibel measure in the first audio data and a first user utterance remote decibel measure in the second audio data, detecting a second user utterance having a second user utterance local decibel measure in the second audio data and a second user utterance remote decibel measure in the first audio data, determining a first cancelling coefficient based on the second user utterance detected at the first microphone and the second user utterance detected at the second microphone, applying the first cancelling coefficient to the first audio data, and generating first output audio data comprising the first user utterance at the first computing device.

An electronic device includes a speaker, a sensor, a communication circuit, a processor, and a memory to store instructions. The instructions, when executed by the processor, cause a wireless audio device to, while outputting a signal for reducing an external sound through the speaker, identify, using the communication circuit, an external electronic device, identify, using the sensor, a conversation responsive to a location of the external electronic device satisfying a specified condition, responsive to identifying the conversation, stop an output of the signal for reducing the external sound for a first period of time, and responsive to identifying a specified keyword included in the conversation, prolong stopping the output of the signal for reducing the external sound for a second period of time.

A method and system for daisy chaining tournament audio controllers, where the method comprises, in a headset coupled to a first audio controller, the first audio controller being in a daisy chain of audio controllers: receiving a chat signal from a second audio controller in the daisy chain of audio controllers, receiving a microphone signal from a microphone in the headset, summing the chat signal with the microphone signal, communicating the summed signal to a third audio controllers in the daisy chain, and communicating the chat signal to the headset. The microphone signal may be removed from the summed chat signal and microphone signal by adding a second microphone signal 180 degrees out of phase with the microphone signal. The chat signal may be summed with the microphone signal at an amplitude set by a user of the headset after the removal of the microphone signal.

A signal representing a sound can be received. A machine learning model can be run to identify that the sound triggers a reaction in a user hearing the sound. A preventive action can be automatically activated to mitigate the reaction. The user's reactions can be monitored. Responsive to determining that the user's reaction has been mitigated or suppressed, the preventive action can be deactivated. The machine learning model can be retrained using at least the signal as new training data.

A method, system, and apparatus for noise cancelation is disclosed, which may be used in a wireless unit (WU). The WU may include a processor, a memory, a user interface, internal microphones and internal speakers. A removably connected headset may include microphones and speakers. The WU may receive a first ambient noise from headset microphone(s), which may generate a first signal based on the first ambient noise. The WU may receive a second ambient noise at internal microphone(s), which may generate a second signal based on the second ambient noise. The WU may calculate an estimate of ambient noise based on the first and second signals, calculate a signal for noise cancellation based on the estimate, cancel estimated ambient noise from an audio output signal based on an application of the signal for noise cancellation, and send the audio output signal to speakers of the headset or of the WU.