A system includes a sound generator (20) that generates sound superimposed to sound to be manipulated. An error sensor (50) measures superimposed sound and outputs a corresponding feedback signal (e′(n)). A signal generator (91) generates a sound signal (y(n)). A controller (92) generates a control signal (λ(n)) representing a value of a sequence of rational numbers. A weighter (93) weights the generated sound signal (y(n)) with the control signal (λ(n)) and inverts it. An adder (94) adds the weighted/inverted sound signal to the feedback signal (e′(n)) and outputs a modified feedback signal (e(n)) to the signal generator (91). A weighter (95) weights the generated sound signal (y(n)) with the difference from one and with the control signal (λ(n)) and outputs the sound signal y′(n). The generated sound signal (y(n)) is a function of the modified feedback signal (e(n)).

Audio systems, methods, and computer readable mediums having program code to receive a harmonic signal related to rotating equipment, such as a vehicle drivetrain in some examples, and provide a harmonic cancellation (or enhancement) signal. The harmonic cancellation signal is transduced into an acoustic signal, and a feedback sensor, such as a microphone, detects an error signal representative of acoustic energy at a first location in the environment. A projection filter filters the error signal to provide an estimated error signal at a second location in the environment, such as at the location of an occupant's ear(s). An adaptive module adjusts the cancellation signal based on the estimated error signal.

An earphone includes a feedforward microphone located outside ear and a feedback microphone located inside ear. A method for recognizing wind noise of the earphone includes: feedforward microphone signal collected by feedforward microphone and feedback microphone signal collected by feedback microphone are acquired; Fourier transform is performed on feedforward and feedback microphone signals to obtain a feedforward microphone frequency domain signal and a feedback microphone frequency domain signal; inverse feedback filtering processing is performed on the feedback microphone frequency domain signal to obtain an inverse feedback filtering processing result; inverse feedforward filtering processing is performed on the feedforward microphone frequency domain signal and the inverse feedback filtering processing result to obtain an inverse hybrid filtering processing result; and a wind noise recognition result of the earphone is obtained based on an interrelationship between the inverse feedback filtering processing result and the inverse hybrid filtering processing result.

An earphone includes a first microphone located outside an ear and a second microphone located inside the ear. A method for recognizing wind noise of the earphone includes: a first microphone signal collected by the first microphone and a second microphone signal collected by the second microphone are acquired; a first frequency domain filtered signal is obtained based on the first microphone signal and the second microphone signal; and obtaining a wind noise recognition result of the earphone based on coherence between the first microphone signal and the first frequency domain filtered signal.

An audio system for a wearable device dynamically updates acoustic transfer functions. The audio system is configured to estimate a direction of arrival (DoA) of each sound source detected by a microphone array relative to a position of the wearable device within a local area. The audio system may track the movement of each sound source. The audio system may form a beam in the direction of each sound source. The audio system may identify and classify each sound source based on the sound source properties. Based on the DoA estimates, the movement tracking, and the beamforming, the audio system generates or updates the acoustic transfer functions for the sound sources.

An internal microphone signal of a headphone is filtered by i) a first filter G that, as part of an acoustic noise cancellation, ANC, subsystem, produces an anti-noise audio signal, and ii) a second filter C to produce a feedback audio signal. An estimate of a transfer function of a path S is determined, wherein the path S is from i) an input of a speaker of the headphone to ii) the internal microphone signal. The second filter C is adapted based on the estimate of the transfer function of the path S drives an input of a speaker of the headphone. Other embodiments are also described.

An earphone includes a feedforward microphone located outside ear and a feedback microphone located inside ear. A method for recognizing wind noise of the earphone includes: feedforward microphone signal collected by feedforward microphone and feedback microphone signal collected by feedback microphone are acquired; Fourier transform is performed on feedforward and feedback microphone signals to obtain a feedforward microphone frequency domain signal and a feedback microphone frequency domain signal; inverse feedback filtering processing is performed on the feedback microphone frequency domain signal to obtain an inverse feedback filtering processing result; inverse feedforward filtering processing is performed on the feedforward microphone frequency domain signal and the inverse feedback filtering processing result to obtain an inverse hybrid filtering processing result; and a wind noise recognition result of the earphone is obtained based on an interrelationship between the inverse feedback filtering processing result and the inverse hybrid filtering processing result.

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.

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.

An ear-wearable device is operable to receive a reference signal from outside an ear canal of a user and an error signal from inside of the ear canal. A physical propagation path between the outside and inside of the ear canal defines a primary path, and amplified sound produced inside of the ear canal propagates over a secondary path to combine with direct noise at the ear canal. A noise signal inside the ear canal is estimated from the reference signal based on estimate of the primary and secondary paths. The estimated noise signal and the error signal are used to produce coefficients of an adaptive filter. The adaptive filter is used to produce an anti-noise signal, which is used actively cancel noise in the ear canal.