Google Inc.

Hugo Botelho Barra

Michael Andrew Sipe

Henry Will Schneiderman

Robert William Hamilton

Bjorn Erik Bringert

Henrique Dias Penha

Richard Zarek Cohen

Mikkel Crone Koser

Christian Robertson

Thomas Jenkins

Rachel Leah Garb

Jens Nagel

Adam Travis Skory

Andrew Anderson Stewart

Helena Roeber

Mark Brophy

Mathew Inwood

A method for dynamic switching of user profiles on a computing device. The computing device is coupled to at least one image-sensing device and can be configured using a plurality of stored user profiles. The method includes receiving at least one image from the at least one image-sensing device and generating a current user value based on the at least one received image. The method further includes determining if the current user value corresponds to at least one stored user value corresponding to a stored user profile. If the current user value corresponds to at least one stored user value, the method includes retrieving the stored user profile and configuring at least some programs operating on the computing device using the retrieved user profile. If the current user value does correspond to at least one stored user value, the method includes configuring the computing device using an alternative method.

Dynamic profile switching based on user identification

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for receiving, from a user device, data indicating a user performed a user input gesture combining a first display object in a plurality of display objects with a second display object in the plurality of display objects; identifying attributes that are associated with both the first display object and the second display object; and performing a search based on the attributes.

Requesting search results by user interface gesture combining display objects

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for customizing the punctuation style of a transcription. A method includes receiving an utterance from a user, obtaining an unpunctuated transcription of the utterance, identifying an instance within the unpunctuated transcription where a punctuation mark may be placed, identifying, using data associated with the user, one or more past instances that are similar to the identified instance, punctuating the unpunctuated transcription based at least on the one or more past instances, and presenting the punctuated transcription to the user.

Training punctuation models

Methods, systems, and apparatus for voice authentication and command. In an aspect, a method comprises: receiving, by a data processing apparatus that is operating in a locked mode, audio data that encodes an utterance of a user, wherein the locked mode prevents the data processing apparatus from performing at least one action; providing, while the data processing apparatus is operating in the locked mode, the audio data to a voice biometric engine and a voice action engine; receiving, while the data processing apparatus is operating in the locked mode, an indication from the voice biometric engine that the user has been biometrically authenticated; and in response to receiving the indication, triggering the voice action engine to process a voice action that is associated with the utterance.

Voice authentication and command

In a first speech detection mode, a computing device listens for speech that corresponds to one of a plurality of activation phrases or 'hotwords' that cause the computing device to recognize further speech input in a second speech detection mode. Each activation phrase is associated with a respective application. During the first speech detection mode, the computing device compares detected speech to the activation phrases to identify any potential matches. In response to identifying a matching activation phrase with a sufficiently high confidence, the computing device invokes the application associated with the matching activation phrase and enters the second speech detection mode. In the second speech detection mode, the computing device listens for speech input related to the invoked application.

Multi hotword robust continuous voice command detection in mobile devices

A computing device includes an image capture device, a display, and at least one processor. The image capture device is configured to capture a digital enrollment image of a face of an authorized user and a digital authentication image of a face of an authenticating user. The display is configured to present the enrollment and authentication images. The at least one processor is configured to automatically alter the authentication image for presentation by the display and compare the authentication image to the enrollment image to unlock the computing device for use by the authenticating user.

Image processing

A method performed by one or more processing devices includes receiving data indicative of dictated speech that has been spoken by a user during speech dictation; causing speech recognition to be performed on the data to obtain units of text; selecting a unit from the units, wherein the unit selected corresponds to a portion of the data received at a time that is more recent relative to times at which others of the units are received; and generating, based on an output of the speech recognition, data for a graphical user interface, that when rendered on a display device, causes the graphical user interface to display: a visual representation of the dictated speech, wherein the visual representation includes a visual indicator of the unit selected; and a control for performing dictation correction on the unit selected in real-time during the speech dictation.

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San Francisco, CA, United States of America

Hugo Botelho Barra