A vehicle audio system is provided with at least one loudspeaker to project sound within a room in response to receiving an audio signal. A controller is programmed to generate the audio signal based on at least one occupancy signal indicative of occupant presence and identification within the room, wherein the audio signal is indicative of at least one of anti-noise sound, synthesized engine noise (SEN), and music.

An active noise control (ANC) circuit is used for generating an anti-noise signal, and has a plurality of filters including at least one first filter and at least one second filter. The at least one first filter generates at least one first filter output, wherein each of the at least one first filter has a first filter type. The at least one second filter generates at least one second filter output, wherein each of the at least one second filter has a second filter type different from the first filter type. The anti-noise signal is jointly controlled by the at least one first filter output and the at least one second filter output. The at least one first filter and the at least one second filter are connected in a parallel fashion.

A hearing protection and situational awareness system includes a wearable device, speakers, one or more beamformers, a microphone array, and a computation unit. The system generates a three-dimensional (3D) binaural sound for enhanced situational awareness; provides hearing protection by active noise cancelation; provides hearing enhancement by automatic gain control; and performs background noise reduction and cancelation. The system performs automated sound detection, identification, and localization, with automated voice assistance, and facilitates clear two-way communications. Each beamformer(s) outputs a sound track associated with a sound captured by the microphone array in a direction(s) of an acoustic beam pattern(s). The computation unit combines filtered sound tracks generated using head-related transfer function (HRTF) filters into left and right sound channels to drive the speaker(s) in left and right hearing members of the wearable device, respectively, thereby generating a 3D binaural sound including cues of the sound source directions.

A notebook computer includes a control chip, a speaker, and the fan. The control chip and the fan are disposed inside a chassis of the notebook computer. The method includes: controlling, by the control chip, the speaker to send a first sound signal, where the first sound signal and a first noise signal that is generated by running of the fan have opposite phases and a same frequency. The first sound signal is used to cancel the first noise signal.

A method of identifying a system, the method comprising: obtaining an indication of background noise present at the system; generating a probe signal based on the indication; applying the probe signal to the system; estimating a response of the system to the probe signal; and identifying the system based on the measured response and the probe signal, wherein the probe signal comprises a whitening component configured to whiten noise in the estimated response due to the background noise present at the system.

Embodiments and methods perform ear cavity frequency response (EFCR) adaptive noise cancelation (ANC) with path-compensation over an entire main path to the eardrum (MPED) of a user. A number of ANC filter models are pre-trained to include respective anti-noise path (ANP) filter models and respective MPED filter models representing ANC filter configurations. As a user wears a headphone earpiece, characteristics of the wearer and the position/orientation of wearing manifest a wearer/wearing condition. Techniques described herein can continuously or periodically and efficiently determine which of the pre-trained ANC filter models most closely described the present MPED of the present wearer/wearing condition, and can continuously or periodically update the ANC filter configuration based on the pre-trained models to maintain high-performance ANC that includes EFCR path-compensation.

An active noise reduction system includes a canceling sound generator configured to generate a canceling sound for canceling a noise, an error detector configured to detect an error between the noise and the canceling sound and generate an error signal corresponding to the error, and a controller configured to control the canceling sound generator based on the error signal, wherein the controller is configured to extract noise components at a plurality of frequencies based on the error signal, determine a control target frequency among the plurality of frequencies based on the noise components at the plurality of frequencies, select a value of a prescribed control parameter based on the control target frequency, and generate a control signal to control the canceling sound generator based on the selected value of the control parameter.

Methods and systems are provided for automatic noise control. Automatic noise control includes controlling a shadow noise control transfer function based on a shadow error signal and a filtered or unfiltered reference signal, generating the shadow error signal based on a filtered or unfiltered shadow anti-noise signal and an error signal, and substituting the noise control transfer function by the shadow noise control transfer function if the shadow error signal is smaller than the error signal.

A noise cancelling system for a vehicle includes a microphone, at least one first sensor configured to collect first data related to an element that generates a noise sound, at least one second sensor configured to collect second data related to an element that changes a secondary path of the noise sound, a controller configured to select a secondary path model corresponding to the second data from among a plurality of pre-stored secondary path models, input the first data to a secondary path filter corresponding to the selected secondary path model, and generate an anti-noise signal based on output data of the secondary path filter and error data received from the microphone, and a speaker configured to output an anti-noise sound based on the anti-noise signal.

An active noise reduction device includes a first adaptive filter, a first filter coefficient updater, and a controller that determines, based on a first parameter of the first adaptive filter, whether first noise control based on a first cancelling sound is in a stable state or an unstable state. The controller transitions the first filter coefficient updater to a restriction state in which an effect of reducing first noise is smaller than in a normal state when it is determined that the first noise control is in the unstable state while the first filter coefficient updater is updating a coefficient of the first adaptive filter in the normal state, and transitions the first filter coefficient updater back to the normal state when it is determined that the first noise control is in the stable state while the first filter coefficient updater is in the restriction state.