Bose Corporation

Christopher James Mulhearn

Ricardo Federico Carreras

Michael Patrick O'Connell

Joseph H Cattell

Michael James Tiene

Avrum G Mayman

David Rolland Crist

Igor Kofman

Matthew Belge

Michael J Daley

Christian A Trott

Brian J Hetherman

Michael P O'connell

Various implementations include a computational architecture for a personal active noise reduction (ANR) device. The device includes a communication interface that receives an audio stream, a driver, a microphone system and an ANR processing platform. The platform includes a first DSP configured to: receive the audio stream and signals from the microphone system, perform ANR on the audio stream according to a set of parameters in the first DSP, and output a processed audio stream. The platform includes a second DSP configured to: generate state data in response to an analysis of the source audio stream, signals from the microphone system, and the processed audio stream; and alter the operational parameters on the first DSP. The platform includes a general purpose processor configured to characterize a malfunction in response to instability or error condition events detected by the second DSP.

Computational architecture for active noise reduction device

Various implementations include a method for implementing a computational architecture for a personal active noise reduction (ANR) device. A method includes receiving a source audio stream with a first DSP and performing ANR on the source audio stream utilizing operational parameters stored in the first DSP; outputting a processed audio stream from the first DSP; generating state data with a second DSP in response to an analysis of at least one of the source audio stream, microphone inputs and the processed audio stream, and communicating signals to the first DSP over a common bus coupled to the first and second DSPs to alter the operational parameters in the first DSP; and utilizing a general purpose processor coupled to both the first DSP and the second DSP to communicate control signals with a communication interface, process state data from the second DSP, and alter the operational parameters in the first DSP.

Various implementations include a computational architecture for a personal active noise reduction (ANR) device. The device includes a communication interface that receives an audio stream, a driver, a microphone system and an ANR processing platform. The platform includes a first DSP configured to: receive the audio stream and signals from the microphone system, perform ANR on the audio stream according to a set of parameters in the first DSP, and output a processed audio stream. The platform includes a second DSP configured to: generate state data in response to an analysis of the source audio stream, signals from the microphone system, and the processed audio stream; and alter the operational parameters on the first DSP. The platform includes a general purpose processor configured to: communicate control signals with the communication interface, process state data from the second DSP, and alter the parameters on the first DSP.

Aspects of the present disclosure provide a product configured to obtain biological signals associated with a user. The biological signals may be used to trigger the product of an upcoming, separate command. The product may take action based on the received command. As described herein, the biological signals may comprise a change in electrical potential of a user, such as an EMG, EEG, or EOG signal. The separate command may be other biological signals, a voice command, or a gesture. The product may be configured to control itself and/or a device external to the product.

Biopotential wakeup word

The technology described in this document can be embodied in a first acoustic device that includes an input port configured to receive an input signal representing audio from a media device, and one or more acoustic transducers. The first acoustic device also includes one or more processors configured to generate, from the input signal, a first signal for producing an acoustic output from the one or more transducers, and a second signal for producing an acoustic output from a second acoustic device. The first and second signals are generated from the input signal based on a feedback signal received from the second acoustic device. The first acoustic device also includes an output port for providing a portion of the second signal to the second acoustic device.

Acoustic device for streaming audio data

The technology described in this document can be embodied in a method that includes receiving, at a processing device, a feedback signal from a recording device, and generating, based on the feedback signal, a control signal for adjusting an acoustic output of a speaker device to achieve a target acoustic distribution within the environment. The feedback signal can indicate an acoustic characteristic of an environment in which a speaker device is located. The method also includes providing the control signal to the speaker device.

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Worcester, MA, United States of America

Christopher James Mulhearn