Google Inc.

Foveon, Inc.

Apple Inc.

California Institute of Technology

Schlumberger Systems & Services, Inc.

Richard Francis Lyon

Richard B Merrill

Richard M Turner

Ryan Michael Rifkin

Pascal Tom Getreuer

Carver A Mead

Thomas Chadwick Walters

Malcolm G Slaney

Jason Holt

Rasmus Munk Larsen

Benjamin Louis Shaya

Michael Smedegaard

Tomer Shekel

Chien-Jung Kung

Byungchul Kim

Tavis A Maclellan

Chet N Gnegy

Iain Richard Tyrone McClatchie

Ricardo Antonio Garcia

Brian Kemler

Justin Wooyoung Lee

Gary Embler

Milton B Dong

Mohammed Waleed Kadous

Ron J Weiss

Brian Patrick Williams

Andrew Ames Bunner

David A Ross

Alex Olwal

Nadav Aharony

Marc Stogaitis

Alan Lee Gardner, Iii

Zhentao Sun

Artem Dementyev

Kenneth John Mackay

Richard Daniel Webb

Ami Patel

Thomas Chao

Liem Tran

Brian Duff

Daniel Estrada Alva

Benjamin Razon

Tony Weber

Joseph A Farfel

Matthew Nirvan Sharifi

Paul M Hubel

Molly Castle Nix

Jason Matthew Toff

Rushabh Ashok Doshi

Kenneth MacKay

Larry S Yaeger

Robert Steven Glickstein

Sam Kvaalen

Robert S Hannebauer

Christopher Russell LaRosa

J Orion Pritchard

Jay Yagnik

Mark E McDonald

Samy Bengio

Gal Chechik

Russel A Martin

Justin Richard Wodrich

Douglas Eck

Kristen Mangum

Allen H Rush

Peter O Schmidt

Michael Chen

Christopher Thaddeus Hughes

Murphy Stein

Nicholas Matarese

Ian Rickard Muldoon

Kelly Elizabeth Dobson

Tilman W Stuhlinger

Matthew Thomas Valente

Yuxuan Wang

Mitchell C Ruda

Jeremy Thorpe

Tobias Delbruck

Gabriel Fisher Slotnick

Timothy M Slagle

Peter Gregory Brueckner

Jeffrey Orion Pritchard

Michael B Montvelishsky

Nina R Sinatra

Kurtis Robert Gross

Timothy F Slagle

Rolando Esparza Palacios

Ricahrd B Merrill

Che-Yu Kuo

Rudolph J Guttosch

Richard R Schediwy

William Stafford

Mark O Bagula

Daniel Naar

Thomas Walters

Martin Rehn

Franziska Schlagenhauf

Malcolm Graham Slaney

Christopher Larosa

Murphy Martin Stein

The various implementations described herein include methods, devices, and systems for automatic audio equalization. In one aspect, a method is performed at an electronic device that includes speakers, microphones, processors and memory. The electronic device outputs audio user content from the speakers and automatically equalizes subsequent audio output of the device without user input. The automatic equalization includes: (1) obtaining audio content signals, including receiving outputted audio content at each microphone; (2) determining from the audio content signals phase differences between microphones; (3) obtaining a feature vector based on the phase differences; (4) obtaining a frequency correction from a correction database based on the obtained feature vector; and (5) applying the obtained frequency correction to the subsequent audio output.

Methods and systems for automatically equalizing audio output based on room position

A method includes providing, for each respective audio channel of a plurality of audio channels provided by an operating system of a computing device, a set of successive audio processing stages to apply to the respective audio channel. The method also includes providing, by the operating system, an application programming interface (API) configured to set a plurality of parameters for adjusting the set of successive audio processing stages for each respective audio channel. The method additionally includes receiving, via the API and from an application running on the computing device, one or more values for one or more parameters of the plurality of parameters. The method further includes adjusting, by the operating system, the plurality of audio channels based on the received one or more values for the one or more parameters.

Dynamics processing effect architecture

In a general aspect, a system for media playback can include a first media playback device configured to receive a media stream from a media casting device over a data network, the first media playback device being a member of the media playback group and a second media playback device configured to receive the media stream, the second media playback device being a member of the media playback group. The first media playback device and the second media playback device can be collectively configured to designate one of the first media playback device and the second media playback device as a leader playback device of the media playback group. The playback device not designated as the leader playback device can be designated as a follower playback device of the media playback group. The first media playback device and the second media playback device can be further collectively configured to determine a clock offset between the leader playback device and the follower playback device. The leader playback device can be configured to receive a broadcast of the media stream over the data network; play the media stream; and provide the media stream to the follower playback device. The follower playback device can be configured to play the media stream in synchronization with the leader playback device based on the clock offset.

Time-synchronized, multizone media streaming

A wearable device can include a wearable band configured to contact a user of the wearable device, an actuator, a sensor, and one or more processors in communication with the actuator and the sensor. The processors can be configured to measure a back electromotive force ('EMF') of the actuator; determine, based on the measured back EMF, data that describes a contact force between the wearable band and the user; and determine, based on the data that describes the contact force, a quality metric describing a data quality of sensor data collected by the sensor. In some embodiments, the processor(s) can determine, generate sensor output data based on the sensor data and based at least in part on the data describing the contact force between the wearable band and the user. For example, one or more machine-learned models maybe leveraged to generate sensor output data that is compensated for the wearable band being too tight or too loose.

Integrated sensing and actuation module for wristband enabling identification and/or compensation for band tightness

The present disclosure provides systems and methods for using a linear resonant actuator ('LRA') to determine a type of contact between a device and its surroundings. The LRA may be coupled to an amplifier by one or more switches. The audio amplifier may receive a signal from a microcontroller and transmit the signal the LRA when the switches are closed. When the switches are in an open position, the LRA may be actively sensing for the type of contact. The back EMF may be measured when the switches are open. The measured back EMF waveform may be used to determine the type of contact. When the signal is not being transmitted, the LRA may be passively sensing to determine whether the device was tapped.

Linear resonant actuator as a tap, touch and pressure sensor using back EMF

Systems and techniques for removing a sound recording from an audio recording (e.g., an audio recording embedded in a media file) are presented. The system can include an identification component, a first subtraction component and a second subtraction component. The identification component identifies a sound recording in a mixed audio recording. The first subtraction component determines a local linear transformation of the sound recording and subtracts the local linear transformation of the sound recording from the mixed audio recording to generate a new mixed audio recording. The second subtraction component compares one or more segments of the sound recording with one or more corresponding segments of the new mixed audio recording and reduces a power level of the new mixed audio recording based at least in part on correlation of the one or more corresponding segments with the one or more segments.

System and method for selective removal of audio content from a mixed audio recording

The various implementations described herein include methods, devices, and systems for automatic audio equalization. In one aspect, a method is performed at an audio device having one or more processors, memory, and a plurality of device interface elements, including one or more speakers and a plurality of microphones. The method includes: (1) detecting a change in orientation of the audio device from a first orientation to a second orientation; and (2) in response to detecting the change in orientation, configuring operation of two or more of the plurality of device interface elements.

Orientation-based device interface

The various implementations described herein include methods, devices, and systems for automatic audio equalization. In one aspect, a method is performed at a computing system that includes speaker(s), microphones, processors and memory. The computing system outputs audio user content and automatically equalizes the audio output of the computing system. The equalizing includes: (1) receiving the outputted audio content at each microphone of the plurality of microphones; (2) based on the received audio content, determining an acoustic transfer function for the room; (3) based on the determined acoustic transfer function, obtaining a frequency response for the room; and (4) adjusting one or more properties of the speakers based on the determined frequency response.

Methods and systems for automatically equalizing audio output based on room characteristics

Growing community of inventors

Los Altos, CA, United States of America

Richard Francis Lyon