Bose Corporation

Carl Ralph Jensen

Daniel Ross Tengelsen

Marko Stamenovic

Jahn Dmitri Eichfeld

Andrew Todd Sabin

Wade P Torres

Kenneth S Lyons

Li-Chia Yang

Sara Maree Adkins

Ray Scott Wakeland

Brian M Lucas

Geoffrey C Chick

Paul Thomas Bender

Cedrik Bacon

Eric Raczka Bernstein

Andrew Jackson Stockton, X

Zhen Sun

Mikaela Alison Shannon

Andrew Jackson Stockton X

Kenneth Scott Lyons

Various implementations include systems for processing audio signals. In particular implementations, a system for processing audio signals includes: an accessory device that includes a first processor for running a machine learning model on an input signal, where the machine learning model includes a classifier configured to generate metadata associated with the input signal; and a wearable audio device configured for wireless communication with the accessory device, the wearable audio device including a second processor that utilizes the metadata from the accessory device to process a source audio signal and output a processed audio signal.

Audio processing using distributed machine learning model

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 enhancement method includes receiving a first plurality of input signals representative of audio captured using an array of two or more sensors, the first plurality of input signals characterized by a first signal-to-noise ratio (SNR), with the audio being the signal-of-interest. The method also includes receiving a second input signal representative of the audio, the second input signal characterized by a second SNR. The second SNR is higher than the first SNR. The method further includes combining the first plurality of input signals and the second input signal to generate one or more driver signals, and driving one or more acoustic transducers using the one or more driver signals to generate an acoustic signal representative of the audio. The driver signals include spatial information derived from the first plurality of input signals, and are characterized by a third SNR that is higher than the first SNR.

Enhancement of audio from remote audio sources

Various implementations include systems for processing audio signals. In particular implementations, a system for processing audio signals includes: a wearable audio device having a transducer and a communication system; and an accessory device configured to wirelessly communicate with the wearable audio device, the accessory device having a processor configured to process a source audio signal according to a method that includes: source separating the source audio signal; and providing a source separated audio signal to the wearable audio device for transduction.

An audio enhancement method includes receiving a first input signal representative of audio captured using an array of two or more sensors, the first input signal characterized by a first signal-to-noise ratio (SNR), with the audio being the signal-of-interest. The method also includes receiving a second input signal representative of the audio, the second input signal characterized by a second SNR. The second SNR is higher than the first SNR. The method further includes computing a spectral mask based on a frequency domain representation of the second input signal, and processing a frequency domain representation of the first input signal based on the spectral mask to generate one or more driver signals. The method further includes driving one or more acoustic transducers using the generated driver signals.

An acoustic device that is adapted to be worn on the body of a user. The acoustic device has an array of acoustic transducers comprising at least three acoustic radiating surfaces, and a controller that is adapted to provide array control signals that independently control the relative phases and amplitudes of each of the transducers.

Acoustic device

An acoustic device includes a diaphragm, a frame, and a suspension element that couples the diaphragm to the frame such that the diaphragm is movable in a reciprocating manner relative to the frame. The suspension element includes a first surround element and a second surround element that have respective inner landings between which a region proximal to an outer edge of the diaphragm is disposed. The inner landings are mechanically coupled by an adhesive material disposed along an inner periphery of the suspension element. The adhesive material has a viscoelastic response that increases stiffness as frequency increases, resulting in a shift of a first breakup mode of the acoustic device from a first frequency to a second, higher frequency.

Suspension for acoustic device

An electro-acoustic driver including an acoustic waveguide includes an enclosure, an acoustic transmission line formed within the enclosure, and a plurality of acoustic transducers contained within the enclosure and disposed along a length of the acoustic transmission line. Each acoustic transducer is configured to emit acoustic energy directly into the acoustic transmission line at two separated locations along the length of the acoustic transmission line.

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Waltham, MA, United States of America

Carl Ralph Jensen