Bose Corporation

Other

Vasu Iyengar

Paul G Yamkovoy

James Theodore Hotary

Martin David Ring

Steven H Isabelle

Steven Sanghoon Lee

William P Hidden

Richard L Pyatt

Luke C Walters

You Zhang

Jeffery J Faneuff

Michael S D'agostino

Methods and apparatuses for comparing a level of a signal carrying ambient acoustic noise with a threshold level; and based on results of the comparison, ignoring time intervals identified as noise burst in estimating ambient noise levels.

Noise level estimator

Methods and apparatuses for deriving a signal-to-noise ratio based at least in part on a measured level of a signal carrying far-end speech, and a measured level of a signal carrying ambient acoustic noise; determining a target gain adjustment based at least in part on the derived signal-to-noise ratio; applying the target gain adjustment to the signal carrying far-end speech to produce a gain-adjusted signal; and providing the gain-adjusted signal for audio output from a communications device.

Dynamic gain adjustment based on signal to ambient noise level

A system for combining signals includes a first microphone generating a first input signal having a first voice component and a first noise component, a second microphone generating a second input signal having a second voice component and a second noise component, a mixing circuit, and an adaptive filter. The mixing circuit applies a first gain having a value &#x3b1; to the first input signal to produce a first scaled signal, applies a second gain having a value 1&#x2212;&#x3b1; to the second input signal to produce a second scaled signal, and sums the first scaled signal and the second scaled signal to produce a summed signal. The adaptive filter computes an updated value of &#x3b1; to minimize the energy of the summed signal based on the summed signal, the first input signal and the second input signal, and provides the updated value of &#x3b1; to the mixing circuit.

Rejecting noise with paired microphones

An automotive system provides an integrated user interface for control and communication functions in an automobile or other type of vehicle. The user interface supports voice enabled interactions, as well as other modes of interaction, such as manual interactions using controls such as dashboard or steering wheel mounted controls. The system also includes interfaces to devices in the vehicle, such as wireless interfaces to mobile devices that are brought into the vehicle. The system also provides interfaces to information sources such as a remote server, for example, for accessing information.

Automobile speech-recognition interface

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Shrewsbury, MA, United States of America

Vasu Iyengar