A vehicle includes an engine and/or powertrain producing noise that is audible in a passenger compartment of the vehicle when the engine and/or powertrain is running. An active noise control arrangement includes a first loudspeaker disposed within a passenger compartment of the vehicle. A digital signal processor receives audio data and transmits an audio signal to the first loudspeaker dependent upon the audio data. A microphone is disposed within the passenger compartment and converts the sound from the first loudspeaker and the noise within the passenger compartment into a microphone signal. The microphone signal is transmitted to the digital signal processor, and the digital signal processor modifies the audio signal such that the audio signal attenuates the noise in the passenger compartment. A vehicle processor transmits a simulated noise signal to a second loudspeaker for use in testing effectiveness of the active noise control arrangement in attenuating noise when the engine and/or powertrain is not running and not producing noise.

An active noise reduction system using adaptive filters. A method of operation the active noise reduction system includes smoothing a stream of leakage factors. The frequency of a noise reduction signal may be related to the engine speed of an engine associated with the system within which the active noise reduction system is operated. The engine speed signal may be a high latency signal and may be obtained by the active noise reduction system over audio entertainment circuitry.

Examples of creating a device identifier that are based upon hardware components of a client device are discussed. An inaudible or high frequency reference audio sample is played. Audio capture is initiated using the microphone system. A sensor-based device identifier can be generated from the captured audio due the manufacturing variances in the hardware components used for the speaker and microphone systems.

An advanced acoustic awareness platform configured to classify environmental sounds. The advanced acoustic awareness platform comprises an audio signal acquisition sensor array and one or more processors programmed to augment the audio signal, extract features for the audio signal, visualize, and classify the signal using one or more labels. In at least one embodiment, the signal is classified based on transfer learning associated with a pretrained machine learning model.

Methods, apparatus, systems and articles of manufacture (e.g., physical storage media, such as storage devices and/or storage disks) to implement selective suppression of audio emitted from an audio source are disclosed. Example methods disclosed herein for audio suppression include sending, at a first time, reference audio data in a wireless format to a user device, the reference audio data corresponding to a first audio signal to be emitted by an audio source at a second time later than the first time. Such example methods can also include emitting the first audio signal from a speaker associated with the audio source at the second time.

A hearing protection system comprising a hearing protection device and a communication device is disclosed, the hearing protection device comprising a first connector; a first ear protector comprising a first sound attenuation body, a first primary microphone, and a first receiver, wherein the first primary microphone and the first receiver are electrically connected to a first primary terminal and a first receiver terminal of the first connector, respectively, and wherein the first sound attenuation body is configured to cover an outer ear of a user; and a second ear protector comprising a second sound attenuation body, a second primary microphone, and a second receiver, wherein the second primary microphone and the second receiver are electrically connected to a second primary terminal and a second receiver terminal of the first connector, respectively, and wherein the second sound attenuation body is configured to cover an outer ear of a user.

A vehicle includes at least one sensor and a body having an exterior portion and an interior portion. The sensor is configured to detect noise existing in the exterior portion and the interior portion, and to output at least one noise signal indicative of the detected noise. The vehicle further includes at least one noise cancellation and enhancement (NCE) controller and an automotive audio bus (A2B) interface. One or more of the NCE controllers are configured to perform at least one noise management signal processing operation based on the at least one noise signal. The automotive audio bus (A2B) interface receives the at least one noise signal and delivers the at least one noise signal to the at least one NCE controller.

An electric powered work machine according to one aspect of the present disclosure includes a first and a second digital filters, a control sound source, an error sensor, and a characteristics adjustor. The first digital filter includes a series of taps and generates a control signal. The control sound source produces an artificial noise in accordance with the control signal. The error sensor converts a synthesized sound of the artificial noise and a target noise at a canceling location to an error signal. The second digital filter includes N taps and generates a filtered reference signal. The characteristics adjustor uses the error signal and the filtered reference signal to adjust a coefficient of each tap of M taps in the series of taps. Each of M and N is a positive integer satisfying M<N.

The present disclosure provides a method for evaluating an electronic device. The method comprises determining, with an acoustic tube, a value of a first parameter, the value of the first parameter being indicative of the acoustic impedance of a reference termination. The method further comprises determining, with the acoustic tube, a value of a second parameter, the value of the second parameter being indicative of the acoustic impedance of the reference termination, when occluded by the electronic device. The method then comprises calculating a value of a third parameter, the value of the third parameter being indicative of the acoustic impedance of the electronic device, based on the value of the first parameter and the value of the second parameter.

A method and an apparatus for active noise suppression in a vehicle. The apparatus includes an actuator in the vehicle and a part of the vehicle. The part of the vehicle is designed according to a first transfer function, which characterizes a transmission behavior of the part of the vehicle for sound. At least a part of the actuator is configured according to a second transfer function, which characterizes a transmission behavior of the at least one part for sound. The actuator is controllable in dependence on a control variable for active noise suppression.