Techniques are described in which sensor data is used to determine one or more of background noise or occupancy associated with a passenger cabin of a vehicle. The sensor data, in turn, is used to determine an operating state for one or more components of the vehicle (e.g., pumps, compressors, fans, blowers, etc.) such that an amount of background noise within the passenger cabin is reduced (e.g., when a passenger/occupant is present). In various examples, the operating state of the component may operate in a different, though louder, state (e.g., higher efficiency, greater power, etc.) when an occupant is not present or proximate the component.

Aspects relate to systems and methods for dynamic active noise reduction including at least a sensor configured to sense a physiological characteristic of a user and transmit a physiological signal correlated to the sensed physiological characteristic, at least an environmental microphone configured to transduce an environmental noise to an environmental noise signal, a processor configured to receive the environmental noise signal, generate a noise-reducing sound signal as a function of the environmental noise signal, and, modify the noise-reducing sound signal as a function of the physiological signal, and a speaker configured to transduce a noise-reducing sound from the modified noise-reducing sound signal.

Embodiments include a vehicle comprising an audio system configured to create a plurality of audio zones within a vehicle cabin, and at least one display communicatively coupled to the audio system. The display is configured to display a separate user interface for each audio zone. Each user interface comprises an engine sound control and a cabin noise control for adjusting an audio output provided to the corresponding audio zone. Embodiments also include a method of providing user-controlled sound isolation in a plurality of audio zones within a vehicle. The method comprises presenting, for each audio zone, a user interface including an engine sound control and a cabin noise control, and generating an audio output for each audio zone based on a first value received from the engine sound control and a second value received from the cabin noise control of the corresponding user interface.

A system and method for quieting unwanted sound. As a non-limiting example, various aspects of this disclosure provide a system and method, for example implemented in a premises-based or home audio system, for quieting unwanted sound at a particular location.

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.

A headphone is configured to be used in combination with an in-ear earphone, and includes: an earmuff configured to be fitted over an auricle; an earmuff pickup arranged on an outer side of the earmuff and configured to collect an environmental sound; and a first speaker arranged on an inner side of the earmuff and configured to perform at least one of following actions: playing a noise-cancellation sound corresponding to the environmental sound collected by the earmuff pickup, or playing an audio. When the headphone is in use, the inner side of the earmuff and the auricle define an accommodating space for accommodating a part of the in-ear earphone exposed out of an external auditory canal. The headphone and the auricle define an accommodating space for accommodating the in-ear headphone.

Aspects relate to systems and methods for dynamic active noise reduction including at least a sensor configured to sense a physiological characteristic of a user and transmit a physiological signal correlated to the sensed physiological characteristic, at least an environmental microphone configured to transduce an environmental noise to an environmental noise signal, a processor configured to receive the environmental noise signal, generate a noise-reducing sound signal as a function of the environmental noise signal, and, modify the noise-reducing sound signal as a function of the physiological signal, and a speaker configured to transduce a noise-reducing sound from the modified noise-reducing sound signal.

One aspect of the present disclosure relates to a noise masking method through variable masking sound level conversion, capable of adjusting an interval for changing a level of a masking sound for masking noise to an optimal interval so that the masking sound is not perceived as noise, by determining a fluctuation trend of a level of audible noise and adjusting the interval for changing the level of the masking sound for masking the noise into an optimal environment through a control unit.

A noise cancellation system for cancelling sounds within a vehicle. The noise cancellation system includes microphones, a camera, a controller, and speakers. The microphones are disposed adjacent to occupant locations, and configured to generate microphone signals representative of noise sounds and cancellation audio sounds. The camera is configured to generate a video signal that captures head configurations of the occupants. The controller is configured to receive rotor control signals, calculate hearing locations based on tracking data of the head configurations of the occupants, and generate a speaker signals based on the hearing locations, the microphone signals, and the rotor control signals. The speakers are configured to generate the cancellation audio sounds. The cancellation audio sounds attenuate the noise sounds.

Various implementations include systems for processing audio signals to remove artifacts introduced by a machine learning system in challenging environments. In particular implementations, a method includes generating a processed audio signal for a hearing assistance device in which the processed audio signal is intended to perceptually dominate a user auditory experience, including: processing an unprocessed audio signal received by the hearing assistance device, wherein the processing includes utilizing a machine learning (ML) system to generate an ML enhanced audio signal; determining a mixing coefficient from an environmental noise assessment; mixing the ML enhanced audio signal with the unprocessed audio signal using the mixing coefficient to generate the processed audio signal; and outputting the processed audio signal.