A method for hybrid noise suppression involves receiving a first processed audio signal and a second processed audio signal from an audio device. The first processed audio signal results from a comprehensive audio processing including a noise spectrum estimate-based noise suppression performed on a noisy audio input signal obtained by the audio device. The second processed signal results from a partial audio processing excluding the noise spectrum estimate-based noise suppression performed on the noisy audio input signal. The method further involves temporally aligning the second processed audio signal with the first processed audio signal, predicting a noise suppression parameter using a neural network model operating on the second processed audio signal after the temporal alignment, generating a noise-suppressed audio output signal from the first processed audio signal after the temporal alignment using the noise suppression parameter, and outputting the noise-suppressed audio output signal.

A system for reducing noise for a user includes a first detector configured to generate a first noise signal, wherein the first noise signal is a representation of a first noise that is transmitted to the user through a first sound pathway, and a second detector configured to generate a second noise signal, wherein the second noise signal indicates a second noise perceived by the user. The system also includes a processor configured to determine a noise correction signal based on the first noise signal and/or the second noise signal, and a speaker configured to generate a sound for reducing the noise based on the noise correction signal.

A method for hybrid noise suppression involves receiving a first processed audio signal and a second processed audio signal from an audio device. The first processed audio signal results from a comprehensive audio processing including a noise spectrum estimate-based noise suppression performed on a noisy audio input signal obtained by the audio device. The second processed signal results from a partial audio processing excluding the noise spectrum estimate-based noise suppression performed on the noisy audio input signal. The method further involves temporally aligning the second processed audio signal with the first processed audio signal, predicting a noise suppression parameter using a neural network model operating on the second processed audio signal after the temporal alignment, generating a noise-suppressed audio output signal from the first processed audio signal after the temporal alignment using the noise suppression parameter, and outputting the noise-suppressed audio output signal.

Systems and methods for vibration attenuation, and for investigating a subsurface volume of interest from a borehole. System embodiments may include a vibration attenuation system, comprising: at least one vibration attenuator configured to dynamically isolate a vibration source, the at least one vibration attenuator comprising metamaterial defining a plurality of cells; wherein at least one cell of the plurality of cells comprises a plurality of sub-cells azimuthally arrayed about an axis of alignment, and at least one sub-cell of the plurality is defined by a solid, the at least one sub-cell including a plurality of cell segments substantially oriented in alignment with a mapping geometry comprising an inversion of a canonical tangent circles mapping. The vibration source may comprise an acoustic source. The system may have an enclosure having the acoustic source and the at least one receiver disposed therein, with the at least one acoustic attenuator is positioned between.

A noise cancellation system for a vehicle audio system may include at least one input sensor arranged on an engine of a vehicle configured to provide an input signal indicative of acceleration or vibration detected at the engine and a processor. The processor may be programmed to receive a reference signal, apply at least one order tracking to reference signal, generate an error signal based on an output signal, and apply at least one other order tracking filter to the error signal to provide engine order cancelation of the input signal.

A system for reducing noise for a user includes a first detector configured to generate a first noise signal, wherein the first noise signal is a representation of a first noise that is transmitted to the user through a first sound pathway, and a second detector configured to generate a second noise signal, wherein the second noise signal indicates a second noise perceived by the user. The system also includes a processor configured to determine a noise correction signal based on the first noise signal and/or the second noise signal, and a speaker configured to generate a sound for reducing the noise based on the noise correction signal.

A signal processing apparatus includes a signal processor configured to: generate a first noise reduction signal using an adaptive filter based on a signal output from a first input apparatus, and cause the generated first noise reduction signal to be output by a first output apparatus; and generate a second noise reduction signal using a feedback filter based on a signal output from a second input apparatus, and cause the generated second noise reduction signal to be output by a second output apparatus. The feedback filter has a fixed feedback coefficient. The first input apparatus is located at a first noise-cancellation target location in an environment, and the second input apparatus is located at a second noise-cancellation target location in the environment, which may be different from the first noise-cancellation target location.

Exemplary engine order and road noise control systems and methods include directly picking up road noise from a structural element of a vehicle to generate a first sense signal representative of the road noise, detecting harmonics of an engine of the vehicle to generate a second sense signal representative of the engine harmonics, and combining the first sense signal and the second sense signal to provide a combination signal representing the combination of the first sense signal and the second sense signal. The systems and methods further include broadband active noise control filtering to generate a filtered combination signal, and converting the filtered combination signal from the active noise control filtering into anti-noise and radiating the anti-noise to a listening position in an interior of the vehicle. The filtered combination signal is configured so that the anti-noise reduces the road noise and engine sound at the listening position.

An active noise cancellation system for reducing unwanted noise in a target area by attenuating a disturbance noise signal (d(n)), which is the remaining noise in the target area originated from an ambient noise signal (x(n)) present in the vicinity of the target area that is transferred to the target area via a main path described by a transfer function P(z)), the active noise cancellation system including a processing unit that implements an ANC-controller which is configured to provide a control signal (y(n)) for controlling a speaker in the target area in order to generate an acoustic signal (y(n)) that destructively overlaps with the disturbance noise signal (d(n)) and thereby attenuates the same.

A signal processing apparatus includes a signal processor configured to: generate a first noise reduction signal using an adaptive filter based on a signal output from a first input apparatus, and cause the generated first noise reduction signal to be output by a first output apparatus; and generate a second noise reduction signal using a feedback filter based on a signal output from a second input apparatus, and cause the generated second noise reduction signal to be output by a second output apparatus. The feedback filter has a fixed feedback coefficient. The first input apparatus is located at a first noise-cancellation target location in an environment, and the second input apparatus is located at a second noise-cancellation target location in the environment, which may be different from the first noise-cancellation target location.