Bose Corporation

Jahn Dmitri Eichfeld

Daniel M Gauger, Jr

Andrew Todd Sabin

Ryan terMeulen

John Allen Rule

Steven H Isabelle

Ryan Christopher Silvestri

Michael Scott Dublin

Charles Oswald

Tobe Zetelmo Barksdale

Marko Stamenovic

Benjamin Davis Parker

Fernando Mier

Wontak Kim

Klaus Hartung

Daniel Ross Tengelsen

Carl Ralph Jensen

Kenneth S Lyons

Li-Chia Yang

Kevin Franck

Sara Maree Adkins

Lisa A Fitch

Davis Pan

Ray Scott Wakeland

Lei Cheng

Dale McElhone

Travis Lee Hein

Michael W Stark

William M Rabinowitz

John Andrew Trotter

William Berardi

Siamak Farahbakhsh

Brandon Lee Olmos

Yashar Motedayen Aval

Michael Shay

James Michael Rush

Patrick William Buzza

Kenneth Scott Lyons

Daniel M Gauger

Kevin H Franck

Stephen H Isabelle

In general, in one aspect, a hearing aid has an ANR circuit and an ear tip that acoustically occludes the ear. Such a hearing aid provides greater gain to sounds than would be stable in the same hearing aid with a vented ear tip. The ear tip and the ANR circuit in combination attenuate sounds reaching the ear canal through the hearing aid to a first level. The hearing aid detects sounds arriving at a microphone, amplifies those sounds, and provides the amplified sounds to the ear canal at a second level and later in time than the same sounds arrive at the ear canal through the ear tip. The first level is at least 14 dB greater than the second level, such that the amplified sounds do not interact with the passive sounds to result in spectral combing.

Hearing assistance using active noise reduction

Various implementations include audio devices and methods for noise reduction control in wearable audio devices and/or vehicle audio systems. Certain implementations include a non-occluding wearable audio device having: at least one electro-acoustic transducer; at least one microphone; and a control system coupled with the at least one electro-acoustic transducer and the at least one microphone, the control system programmed to: adjust an active noise reduction (ANR) setting for audio output to the at least one electro-acoustic transducer in response to detecting use of the non-occluding wearable audio device in a vehicle.

Active noise reduction control for non-occluding wearable audio devices

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

Various implementations include conversation assistance audio devices with settings that are adjustable based upon user feedback. In some cases, a computer-implemented method of personalizing a conversation assistance audio device includes: receiving a command from a user for assistance with audio settings in the conversation assistance audio device; applying a baseline set of audio settings to the conversation assistance audio device in response to receiving the user command for assistance; receiving a user command to change the baseline set of audio settings; and applying a modified set of audio settings to the conversation assistance audio device in response to receiving the user command to change the baseline set of audio settings, wherein the modified set of audio settings are applied based upon usage of the conversation assistance audio device and a population model of usage of similar conversation assistance audio devices.

Conversation assistance audio device personalization

Various implementations include systems for processing audio signals. In particular implementations, a process includes receiving an audio signal, wherein the audio signal includes a speech component of the user and a noise component; filtering the audio signal with a self-speech filter that utilizes an intrinsic user vector to filter out the speech component, wherein the intrinsic user vector is determined based on a voice input of the user; and outputting a filtered audio signal in which the speech component of the user has been substantially removed from the audio signal.

Machine learning based self-speech removal

A noise cancelling headset includes an earpiece, the earpiece including a feedback microphone, a feed-forward microphone, and an output driver. A first feedback filter receives an input from at least the first feedback microphone and produces a first filtered feedback signal. A first feed-forward filter receives an input from at least the first feed-forward microphone and produces a first filtered feed-forward signal. A first summer combines the first filtered feedback signal and the first filtered feed-forward signal and produces a first output signal. An output interface provides the first output signal as an output from the headset.

Voice sensing using multiple microphones

Various implementations include systems for processing audio signals. In particular implementations, a system includes at least one microphone configured to capture acoustic signals; a wearable hearing assist device configured to amplify captured acoustic signals from the at least one microphone and output amplified audio signals to a transducer; a voice activity detector (VAD) configured to detect voice signals of a user from the captured acoustic signals; and a voice suppression system configured to suppress the voice signals of the user from the amplified audio signals being output to the transducer.

Hearing assist device employing dynamic processing of voice signals

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.

Various implementations include control mechanisms for conversation assistance audio devices. In some cases, an interface with a representation of the conversation assistance audio device in space is used to control audio functions in the device. In other cases, directionality of the device is controlled based upon the user's visual focus direction. In additional cases, the operating mode of the device is adjustable based upon the signature of a nearby acoustic signal.

Conversation assistance audio device control

Various implementations include conversation assistance audio devices with settings that are adjustable based upon user feedback. In some cases, the conversation assistance audio device is configured to use a set of simulated audio environments to personalize audio settings for a user. In other cases, the conversation assistance audio device is configured to iteratively adjust audio settings from a baseline set of audio settings in response to user commands.

A case for a portable electronic device includes an enclosed, elongated space extending within the case from an opening in an interior surface of the case. The opening corresponds to the location of a microphone in the device. The enclosed space is tapered to an increasingly smaller cross-section as it extends away from the opening. A first edge of the enclosed space aligns along most of its length with an exterior surface of the case. A screen covers a second opening in the exterior surface of the case along the first edge of the elongated space and provides an acoustic resistance between the elongated space and air outside the case through the second opening. A gasket located at the first opening couples the elongated space to the microphone of the electronic device.

Directional microphone integrated into device case

Aspects of the present disclosure provide an apparatus for wireless communication, at least one processor configured to determine a spatial location for a discovered wireless device, a user interface configured to output an indication of the discovered device and its spatial location, a receiver configured to receive a user input, and a communication unit configured to interact with the selected device. The at least one processor is further configured to select the discovered wireless device for interaction based on a relationship between the user input and the outputted indication.

Wireless pairing and control using spatial location and indication to aid pairing

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Natick, MA, United States of America

Jahn Dmitri Eichfeld