A sound processing apparatus includes a receiving module configured to receive audio signals of one or more sounds acquired by a personal sound device, a processing module configured to use a sound processing model to perform: classification processing in which a type of a scenario where a user of the personal sound device is located is determined based on the audio signals; identification processing in which each of the one or more sounds is determined as a desired sound or an undesired sound based on the determined type of the scenario, and filtering processing in which filtering configuration is performed based on a result of the identification processing. The audio signals are filtered based on the filtering configuration, and an output module is configured to output the filtered audio signals, so as to provide same to the user.

A control apparatus and method for noise cancellation in a physical area. The control apparatus receives a trigger input which includes information about a first physical area and further controls an image capturing device to capture at least one first image of the first physical area based on the received trigger input. The control apparatus further determines a number of occupants of a first set of occupants present in the first physical area and scene information corresponding to the first physical area based on the captured at least one first image. The control apparatus further controls a movement of a first plurality of unmanned aerial vehicles (UAVs) in a physical three-dimensional (3D) space to create a virtual noise cancellation boundary around the first physical area based on the determined number of occupants of the first set of occupants and the scene information.

In some examples, an audio output device can provide audio setting modification based on presence detection by receiving an input from a camera in response to the camera detecting the presence of a person, and modify an audio setting of the audio output device in response to receiving the input from the camera.

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.

A vehicular apparatus for active noise control may include: a sensing unit configured to sense information characterizing at least one of an environment inside of a vehicle and an environment outside of the vehicle; and a controller configured extract road roughness information characterizing road roughness from the sensed information, to calculate a convergence coefficient based on the road roughness information, to generate a control signal by applying the convergence coefficient to a control filter coefficient, and to perform active noise control using the control signal.

With respect to a noise reduction device using a speaker and a microphone corresponding to each seat in a vehicle to reduce a noise in each seat, the noise reduction device includes, a signal processing unit configured to generate a canceling sound that reduces a noise at an ear of an occupant in a predetermined seat by using an auxiliary filter, an operation setting unit configured to disable operations of a speaker and a microphone corresponding to each empty seat in the vehicle, and an auxiliary filter setting unit configured to change a setting value of the auxiliary filter used by the signal processing unit to generate the canceling sound in accordance with the number of occupants in seats other than the predetermined seat, the seats affecting the noise in the predetermined seat.

A vehicular apparatus for active noise control may include: a sensing unit configured to sense information characterizing at least one of an environment inside of a vehicle and an environment outside of the vehicle; and a controller configured extract road roughness information characterizing road roughness from the sensed information, to calculate a convergence coefficient based on the road roughness information, to generate a control signal by applying the convergence coefficient to a control filter coefficient, and to perform active noise control using the control signal.

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.

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.

An ear interface mode of headphones may be determined by measuring an acoustic response of the headphones. For example, the headphones may be determined to be in a leaky or sealed configuration. An adaptive noise cancellation (ANC) system may be controlled based on the determined ear interface mode of the headphones. For example, a set of configuration parameters may be loaded for the ANC system corresponding to the known ear interface mode. An anti-noise signal may be generated according to the selected configuration parameters, and that anti-noise signal added during playback of media, such as voice recordings, music, videos, or telephone call speech.