Google Inc.

W.r. Hambrecht + Co., LLC

Other

Othar Hansson

Raziel Alvarez Guevara

Jonathan James Effrat

Jordan M Hayes

Charles A Ocheret

Ulas Kirazci

Ziga Mahkovec

Anton Hansson

Benedict A Gomes

Brett Rolston Lider

David Robert Black

Jon M Wiley

Marcin K Wichary

Tak Keung Cheng

Tomer Kol

Sagar Kamdar

Benjamin J McMahan

Robert Stacey

Manas Tungare

Iftach Hyams

Johanna R Wright

Ramanathan V Guha

Alan J Katz

Patrick F Riley

Jun Gong

Christina R Dhanaraj

David Lecomte

Matthew D Wytock

William R Hambrecht

Matt Regan

Michael H Evelyn

Robert S Goldberg

Cliff M Gerrish

Corin Anderson

Michael Cassidy

Bogdan Dorohonceanu

Wanda Wen-hui Hung

Jonathan J Effrat

Jakob Nicolaus Foerster

Abhinandan Sujit Das

Michael D Levin

Jeremy Hylton

Peter Jin Hong

Kumar Mayur Thakur

Anwis Das

Paul Fontes

April R Lehman

Benjamin N Lee

Robert J Ennals

Anantica Jija Hari Singh

Nundu Janakiram

Sheng Zhang

Yihua Wu

John E Saalweachter

Jonathan David Tang

Wanda Hung

Sashanka Vishnuvajhala

James Home

Benjamin J Mcmahan

David E Lecomte

Methods, systems, and apparatus, for automatically generating search suggestions based on history data for multiple native application on a user device.

Search suggestions based on native application history

A computer-implemented method that includes receiving audio data corresponding to an utterance of a voice command captured by a user device. The user device has a plurality of different users. The method includes determining a particular user among the plurality of different users of the user device as a speaker of the utterance based on a comparison between the audio data and corresponding speaker verification data stored on memory hardware for each user of the plurality of different users of the user device. The method further includes, based on determining the particular user among the plurality of different users of the user device as the speaker of the utterance, providing, for output from the user device, a message comprising a speaker identifier associated with the particular user.

Speaker verification using co-location information

A method includes generating an audio signal encoding an utterance captured by a microphone of a user device and transmitting the audio signal encoding the utterance to a server. The server is configured to determine a speaker of the utterance from one of a plurality of different users of the user device based on a comparison between the audio signal encoding the utterance and corresponding speaker verification data, and process the audio signal encoding the utterance using a speech recognition module to identify a particular action. The method also includes executing the particular action identified by the server to cause a particular application to launch on the user device based on user permissions associated with the speaker determined by the server to access the particular data.

Methods, systems, and apparatus, including computer program products, for processing search query suggestions. In one aspect, a search service provides query suggestions responsive to a query suggestion request from a client device, and determines if a prediction criterion is met. The prediction criterion is independent of a user selection of a query suggestion provided in response to one or more query suggestion requests. In response to determining that the prediction criterion is met, the search system provides search results to the client device. The search results are responsive to one of the query suggestions provided in response to the query suggestion request or one or more previous query suggestion requests.

Predictive query completion and predictive search results

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying a user in a multi-user environment. One of the methods includes receiving, by a first user device, an audio signal encoding an utterance, obtaining, by the first user device, a first speaker model for a first user of the first user device, obtaining, by the first user device for a second user of a second user device that is co-located with the first user device, a second speaker model for the second user or a second score that indicates a respective likelihood that the utterance was spoken by the second user, and determining, by the first user device, that the utterance was spoken by the first user using (i) the first speaker model and the second speaker model or (ii) the first speaker model and the second score.

A system, computer-readable storage medium storing at least one program, and a computer-implemented method for confirming authorship of documents is presented. A document hosted on a website of a domain is accessed, where the document includes an authorship identifier asserting authorship of the document by an entity. Authorship of the document by the entity is conditionally confirmed when a profile for the entity is associated with the authorship identifier and when the profile for the entity indicates that the entity has confirmed that the authorship identifier is included in documents authored by the entity that are hosted on the first website of the first domain. Responsive to confirming authorship of the document by the entity, application of a confirmed authorship process to the document is permitted. Responsive to failing to confirm authorship of the document by the entity, application of the confirmed authorship process to the document is barred.

System and method for confirming authorship of documents

In one example, a method includes outputting, by a computing device () and for display at a display device () operatively coupled to the computing device, a graphical keyboard () comprising a plurality of keys, and receiving, by the computing device, an indication of a gesture detected at a presence-sensitive input device operatively coupled to the computing device. In this example, the method also includes detecting, by one or more sensors () of the computing device, data indicative of one or more user states determined to affect gesture accuracy; selecting, by the computing device and based at least in part on the indication of the gesture and the data, a particular candidate string; and outputting, by the computing device and for display at the display device, the particular candidate string.

User state-adaptive text input

In general, the subject matter described in this specification can be embodied in methods, systems, and program products for invoking a non-search action based on a search query. A server system receives a search query from a remote computing device. The server system determines whether the search query includes reserved text that indicates an intent by a user that provided the search query to the remote computing device to perform a non-search messaging action instead of or in addition to obtaining search results. The server system provides to the computing device, in response to determining that the search query includes the reserved text, code for causing the remote computing device to display a draft communication that includes at least the search query without the reserved text, and for allowing the user to edit the draft communication before transmitting the draft communication for receipt by recipient users.

Identifying non-search actions based on a search query

Identifying non-search actions based on a search-query

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Sunnyvale, CA, United States of America

Othar Hansson