Bose Corporation

Eric Raczka Bernstein

Wade P Torres

Ankita D Jain

Daniel Ross Tengelsen

Eric John Freeman

Cedrik Bacon

Siamak Farahbakhsh

Carl Ralph Jensen

David Avi Dick

Travis Lee Hein

Mikaela Alison Shannon

Mikaela A Shannon

A system and method for externalizing sound. The system includes a headphone assembly and a localizer configured to collect information related to a location of the user and of an acoustically reflective surface in the environment. A controller is configured to determine a location of at least one virtual sound source, and generate head related transfer functions that simulate characteristics of sound from the virtual sound source directly to the user and to the user via a reflection by the reflective surface. A signal processing assembly is configured to create one or more output signals by filtering the sound signal respectively with the HRTFs. Each speaker of the headphone assembly is configured to produce sound in accordance with the output signal.

Systems and methods for sound source virtualization

An audio system, method, and computer program product which includes a wearable audio device and a peripheral device. Each device is capable of determining its respective absolute or relative position and orientation. Once the relative positions and orientations between the devices are known, virtual sound sources are generated at fixed positions and orientations relative to the peripheral device such that any change in position and/or orientation of the peripheral device produces a proportional change in the position and/or orientation of the virtual sound sources. Additionally, first order and second order reflected audio paths may be simulated for each virtual sound source to increase the realism of the simulated sources. Each sound path can be produced by modifying the original audio signal using head-related transfer functions (HRTFs) to simulate audio as though it were perceived by the user's left and right ears as coming from each virtual sound source.

Spatialized audio relative to a peripheral device

A noise reduction system includes sensors configured to generate an input signal, an adaptive filter configured to represent a transfer function of a path traversed by the input signal, one or more processing devices, and one or more transducers. The processing devices receive the input signal and generate an updated set of filter coefficients of the adaptive filter by separating the input signal into frequency subbands; determining for each subband, coefficients of a corresponding subband adaptive module; and combining the coefficients of multiple subband adaptive modules. Determining the coefficients of the corresponding subband adaptive module includes selecting a subset of a precomputed set of filter coefficients of the adaptive filter. The processing devices process a portion of the input signal using the updated set of filter coefficients of the adaptive filter to generate an output that destructively interferes with another signal traversing the path represented by the transfer function.

Subband adaptive filter for systems with partially acausal transfer functions

An audio system, method, and computer program product which includes a wearable audio device and a mobile peripheral device. Each device is capable of determining its respective absolute or relative position and orientation. Once the relative positions and orientations between the devices are known, virtual sound sources are generated at fixed positions and orientations relative to the peripheral device such that any change in position and/or orientation of the peripheral device produces a proportional change in the position and/or orientation of the virtual sound sources. Additionally, first order and second order reflected audio paths may be simulated for each virtual sound source to increase the realism of the simulated sources. Each sound path can be produced by modifying the original audio signal using head-related transfer functions (HRTFs) to simulate audio as though it were perceived by the user's left and right ears as coming from each virtual sound source.

A road noise-cancellation system, comprising: an actuator disposed in a vehicle cabin; a controller comprising a processor and non-volatile memory, the controller being programmed to: generate a noise-cancellation signal with a noise-cancellation filter including a first plurality of coefficients, the noise-cancellation signal being based on the first plurality of coefficients, the noise-cancellation signal being transduced by the actuator to generate a noise-cancellation audio signal based on the noise-cancellation signal, the noise-cancellation audio signal destructively interfering with an undesired noise in a noise-cancellation zone; adjust the first plurality of coefficients of the noise-cancellation filter based on one or more input signals to provide a second plurality of coefficients; store the second plurality of coefficients in the non-volatile memory during a shutdown sequence or at the end of an interval; and restore the second plurality of coefficients from non-volatile memory to the noise-cancellation filter after (i) startup or (ii) determining that a third plurality of coefficients, provided by a second adjustment, are divergent or unstable.

Noise-cancellation systems and methods

A system and method for disabling adaptation in an adaptive feedforward control system at low speeds. The method includes generating a noise signal representative of undesired noise detected by a noise sensor of a vehicle and generating a noise-cancellation signal via a controller within the vehicle. Residual noise resulting from the combination of the acoustic energy of the noise-cancellation signal and the undesired noise is detected by a reference sensor, which generates an error signal based on the residual noise. The error signal and a speed signal from a speed sensor on the vehicle are transmitted to an adaptive processing module for the generation of a filter update signal. The adaptive processing module selectively permits or prevents the filter update signal to adapt filter coefficients of a filter when the speed signal is within a set of conditions.

Systems and methods for disabling adaptation in an adaptive feedforward control system

A noise-cancellation method, comprising the steps of: receiving a value from a noise sensor at a time step; storing the received value in a buffer, the buffer having a length, the buffer further storing a number of additional values, wherein an end value is removed from the buffer to accommodate the received value; providing a previously-computed result, wherein the previously-computed result represents the sum of the square of the values stored in the buffer at a previous time step; adding a square of the received value to the previously-computed result and subtracting a square of the end value from the sum of the received value and the previously computed value in order to yield a newly-computed result and updating a plurality of coefficients of an adaptive filter according to, in part, the value of the newly-computed result.

Systems and methods for recursive norm calculation

A noise-cancellation system includes a noise-cancellation filter configured to generate a noise-cancellation signal based on a noise signal received from a noise sensor; an actuator disposed at a first location within a predefined volume and configured to receive the noise-cancellation signal and to transduce a noise-cancellation audio signal within the predefined volume; a reference sensor disposed at a second location within the predefined volume and to output a reference sensor signal, the reference sensor signal being representative of an undesired noise at the second location; a filter configured to filter the noise-cancellation signal and the reference sensor signal to output a filter output signal, the filter output signal representing an estimate of the undesired nose at a third location remote from the first location and the second location; and an adjustment module configured to adjust the noise-cancellation filter, based on the filter output signal, such that the noise-cancellation audio signal destructively interferes with the undesired noise at the third location.

Systems and methods for noise-cancellation using microphone projection

A system for detecting divergence in a noise-cancellation system, comprising: a controller configured to: determine a power of a component of the error signal, the component being correlated to the at least one reference sensor signal; determine an average value, over a first time period, of a value representative of a time gradient of the power of the component of the error signal; and determine whether the average value is greater than a threshold.

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Cambridge, MA, United States of America

Eric Raczka Bernstein