In at least one embodiment, an active noise cancellation (ANC) system is provided. An audio signal source provides an audio signal. At least one loudspeaker projects anti-noise sound within a cabin. At least one microphone provides a first error signal indicative of the noise, the audio signal, and the anti-noise sound and a second error signal indicative of an estimated anti-noise signal. At least one controller is programmed to receive the first error signal and the second error signal and to provide an estimated impulse response based at least on the first error signal and the second error signal. The at least one controller is further programmed to compare the estimated impulse response to one or more pre-stored impulse responses; and to select a first pre-stored impulse response that matches the estimated impulse response to filter one or more reference signals at an adaptive filter to generate the anti-noise signal.

An apparatus includes a sensor module configured for receiving sensed information indicative of a sensed signal. The sensed signal includes a source signal component and a source noise component. The apparatus also includes a reference module configured for reference information indicative of a reference signal. The reference signal also includes a reference noise component. The apparatus also includes a filter module configured as a fixed lag Kalman smoother. The filter module is configured for adaptively filtering the reference signal to generate an estimate of the source noise component. The apparatus also includes a processing module configured for calculating an output signal based on the sensed signal and the estimate of the source noise component. The apparatus also includes an interface module configured for transmitting an indication of the output signal. The filter module is further configured for, based on the output signal, tuning the Kalman smoother.

A system for generating a transfer function indicating audio transmission characteristics of an input device associated with a processing device includes: a parameter determining unit configured to determine one or more parameters of the input device, where the parameters include a location of a microphone associated with the input device and a location of one or more respective input and/or output elements associated with the input device, an audio characteristic determining unit configured to determine one or more characteristics of audio transmission between respective input and/or output elements and the microphone, where the characteristics include one or more of an attenuation, resonance, and/or change in frequency profile of audio associated with the respective input and/or output element, and a transfer function generating unit configured to generate a transfer function in dependence upon the determined audio characteristics.

Systems and methods are disclosed for modelling of individual acoustic transfer functions relative to the audition of an individual in three-dimensional space. A method is provided for modelling sets of acoustic transfer functions specific to an individual according to a multiplicity of directions in space, where a set of acoustic transfer functions specific to the individual in a given direction is determined depending on the result of a statistical analysis of a plurality of distinct stimuli emitted in the direction of the individual. A stimulus can be dependent on at least one set of predetermined acoustic transfer functions that are associated with the given direction, and on responses received from the individual to each emitted stimulus.

The technology described in this document can be embodied in a computer-implemented method that includes receiving a first plurality of values representing a set of current coefficients of an adaptive filter disposed in an active noise cancellation system. The method also includes computing a second plurality of values each of which represents an instantaneous difference between a current coefficient and a corresponding preceding coefficient of the adaptive filter, and estimating, based on the second plurality of values, one or more instantaneous magnitudes of a transfer function that represents an effect of a secondary path of the active noise cancellation system. The method further includes updating the first plurality of values based on estimates of the one or more instantaneous magnitudes to generate a set of updated coefficients for the adaptive filter, and programming the adaptive filter with the set of updated coefficients.

A sound processing device includes a processor configured to generate a first frequency spectrum of a first sound signal corresponding to a first sound received at a first input device and a second frequency spectrum of a second sound signal corresponding to the first sound received at a second input device, calculate a transfer characteristic based on a first difference between an intensity of the first frequency spectrum and an intensity of the second frequency spectrum, generate a third frequency spectrum of a third sound signal transmitted from the first input device and a fourth frequency spectrum of a fourth sound signal transmitted from the second input device, specify a suppression level of an intensity of the fourth frequency spectrum based on a second difference between an intensity of the third frequency spectrum and an intensity of the fourth frequency spectrum.

The disclosure relates to combined active noise cancellation and noise compensation in a headphone. An audio processing device includes a selector and a noise compensation unit. The selector can select one of a plurality of first transfer functions based on at least one feature of at least one of an external noise and a content audio signal representing a sound to be reproduced through the headphone. The noise compensation unit can compute a second audio signal by applying the selected first transfer function to a first audio signal, and derive gains for the noise compensation at least based on the second audio signal. The at least one feature can be used to distinguish at least two of the first transfer functions. Each of the first transfer functions can transform the first audio signal to the second audio signal which is assumed as representing a version of the sound represented by the first audio signal, which arrives at an eardrum of a listener wearing the headphone. The first audio signal is one of a noise signal representing the external noise and the content audio signal.

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.

In applications where assisted listening headphones are worn inside of a theater, phase cancellation effects cause the headset wearer to perceive the audio as reduced in volume and distorted. These undesirable phase cancellation effects may be disrupted through preprocessing or real time processing of the headset audio track by summing acoustical noise with the original headset audio track and providing this altered audio track to the headset. The acoustical noise is modulated such that it is imperceptible to the headset wearer while at the same time disrupting undesirable phase cancellation effects, which would otherwise occur if the headset audio track was provided unaltered. Thus, the preprocessing of the headset audio preserves the integrity of the intended headset audio, as perceived by the headset wearer, in headsets worn in a theater environment.

An apparatus includes a sensor module configured for receiving sensed information indicative of a sensed signal. The sensed signal includes a source signal component and a source noise component. The apparatus also includes a reference module configured for reference information indicative of a reference signal. The reference signal also includes a reference noise component. The apparatus also includes a filter module configured as a fixed lag Kalman smoother. The filter module is configured for adaptively filtering the reference signal to generate an estimate of the source noise component. The apparatus also includes a processing module configured for calculating an output signal based on the sensed signal and the estimate of the source noise component. The apparatus also includes an interface module configured for transmitting an indication of the output signal. The filter module is further configured for, based on the output signal, tuning the Kalman smoother.