A method and device for detecting whether a headset is on ear. Microphone signals from a plurality of microphones are used to derive a plurality of signal feature measures, which are normalized to a common reference scale. The signal feature measures are weighted based upon detected signal conditions in the microphone signals. The normalized and variably weighted signal feature measures are then combined to produce an output indication of whether a headset is on ear.

Embodiments of the present invention provide a noise cancellation system, comprising noise cancellation parameter selection means for receiving data indicative of one or more operating conditions associated with a vehicle and selecting one or more noise cancellation configuration parameters based thereon, and noise cancellation means for receiving one or more noise signals, determining an in-vehicle noise cancellation signal based on the one or more noise signals according to the one or more configuration parameters and outputting the in-vehicle noise cancellation signal for reducing noise in the vehicle.

Disclosed is a seat intended in particular for a passenger transport vehicle, the seat including a seating part, a backrest that pivots relative to the seating part, a headrest, and an active noise control device including: at least one error sensor capable of sensing a minimization acoustic field and generating a reference signal; a reference sensor able to capture an undesirable acoustic field; a processing unit able to generate a cancellation signal from the reference signal and from a signal representative of the undesirable acoustic field; and at least one speaker able to emit a cancellation acoustic field from the cancellation signal. The headrest includes a support and a first deformable casing carried by the support. The at least one error sensor is arranged on the first deformable casing.

A sound masking system for shaping the ambient noise level in a physical environment. The sound masking system comprises a networked and distributed system having a number of master units coupled together and to a control unit. One or more of the master units may include satellite sound masking units which function to reproduce the sound masking signal generated by the master sound masking unit. Each of the master units is addressable over the network by the control unit enabling the control unit to program the contour, spectral band, and gain characteristics of the sound masking output signal. The system may also include a remote control unit which provides the capability to tune and adjust each master sound masking unit in situ without requiring physical access through the ceiling installation.

A method and device for masking noise from a dialysis machine, as an example of a medical device, includes tubing or a fluid container, or both, being connectable to a patient for flowing fluid to or from the patient, and one or more sensors configured to detect one or more patient parameters. The dialysis machine further includes a controller configured to determine a sleep state of the patient based on the one or more patient parameters detected by the plurality of sensors, and adjust a masking sound in response to the sleep state of the patient. The masking sound is activatable in response to noise generated during operation of the dialysis machine.

An electronic device including an earphone device is provided. The earphone device includes a shell, a speaker, a first microphone device, a memory circuit and a controller. The memory circuit stores multiple parameter sets. The first microphone device receives a first sound. The first microphone device generates first data based on the first sound. The controller compares the first data with the parameter sets of the memory circuit and determines which one of the parameter sets corresponds to the first data based on the frequency parameters and the volume parameters. The controller generates second data based on the adjustment parameters of the one of the parameter sets, and the speaker generates a second sound based on the second data. The first sound generates a third sound in the shell, and the phase of the second sound is substantially opposite to the phase of the third sound.

A simulation system and method for simulating a noise environment of a vehicle includes a memory configured to store a reference sample signal and a noise sample signal, a control unit electrically connected to the memory and configured to generate a reference signal based on the reference sample signal, generate a noise signal based on the noise sample signal, and transmit the reference signal to a noise control system, and a speaker electrically connected to the control unit and configured to convert the noise signal into a sound wave and output the sound wave.

A sound masking system for shaping the ambient noise level in a physical environment. The sound masking system comprises a networked and distributed system having a number of master units coupled together and to a control unit. One or more of the master units may include satellite sound masking units which function to reproduce the sound masking signal generated by the master sound masking unit. Each of the master units is addressable over the network by the control unit enabling the control unit to program the contour, spectral band, and gain characteristics of the sound masking output signal. The system may also include a remote control unit which provides the capability to tune and adjust each master sound masking unit in situ without requiring physical access through the ceiling installation.

Noises that are to be emitted by an aerial vehicle during operations may be predicted using one or more machine learning systems, algorithms or techniques. Anti-noises having equal or similar intensities and equal but out-of-phase frequencies may be identified and generated based on the predicted noises, thereby reducing or eliminating the net effect of the noises. The machine learning systems, algorithms or techniques used to predict such noises may be trained using emitted sound pressure levels observed during prior operations of aerial vehicles, as well as environmental conditions, operational characteristics of the aerial vehicles or locations of the aerial vehicles during such prior operations. Anti-noises may be identified and generated based on an overall sound profile of the aerial vehicle, or on individual sounds emitted by the aerial vehicle by discrete sources.

Disclosed is a seat intended in particular for a passenger transport vehicle, the seat including a seating part, a backrest that pivots relative to the seating part, a headrest, and an active noise control device including: at least one error sensor capable of sensing a minimization acoustic field and generating a reference signal; a reference sensor able to capture an undesirable acoustic field; a processing unit able to generate a cancellation signal from the reference signal and from a signal representative of the undesirable acoustic field; and at least one speaker able to emit a cancellation acoustic field from the cancellation signal. The headrest includes a support and a first deformable casing carried by the support. The at least one error sensor is arranged on the first deformable casing.