Google Inc.

Other

Brian Foster Allen

Alejandro Jose Kauffmann

William D Lindmeier

Pascal Tom Getreuer

Andrew Martin Dahley

Phuong B Le

Nida Zada

Ashley Ma

Mark Ferdinand Bowers

Ignacio Garcia-Dorado

Howard Mullings

Sheenam Maheshwari

Ralph Leith

Nick Rose

Robin Debreuil

Anna M Hentzel

Timothy I Hentzel

Robert R Hentzel

Mark Bowers

Julie Anne Seguin

A method includes receiving a voice request to generate synthesized voiceover speech for a target advertisement having one or more advertising campaign attributes. The method also includes generating, based on the one or more advertising campaign attributes, a voiceover script that includes a sequence of text for the synthesized voiceover speech. The method also includes generating, using a text-to-speech (TTS) system, the synthesized voiceover speech. The TTS system is configured to receive, as input, the sequence of text for the voiceover script and generate, as output, the synthesized voiceover speech. Here, the synthesized voiceover speech has speech characteristics specified by a target TTS vertical. The method also includes overlaying the synthesized voiceover speech on the target advertisement.

Automatic voiceover generation

Generating synthesized speech audio data on behalf of a given user in a conversation. The synthesized speech audio data includes synthesized speech that incorporates textual segment(s). The textual segment(s) can include recognized text that results from processing spoken input, of the given user, using a speech recognition model and/or can include a selection of a rendered suggestion that conveys the textual segment(s). Some implementations dynamically determine one or more prosodic properties for use in speech synthesis of the textual segment, and generate the synthesized speech with the one or more determined prosodic properties. The prosodic properties can be determined based on the textual segment(s) used in speech synthesis, textual segment(s) corresponding to recent spoken input of additional participant(s), attribute(s) of relationship(s) between the given user and additional participant(s) in the conversation, and/or feature(s) of a current location for the conversation.

Synthesized speech audio data generated on behalf of human participant in conversation

The present disclosure provides systems and methods that generate a summary storyboard from a plurality of image frames. An example computer-implemented method can include inputting a plurality of image frames into a machine-learned model and receiving as an output of the machine-learned model, object data that describes the respective locations of a plurality of objects recognized in the plurality of image frames. The method can include generating a plurality of image crops that respectively include the plurality of objects and arranging two or more of the plurality of image crops to generate a storyboard.

Systems and methods for generating a summary storyboard from a plurality of image frames

A method and system is provided for tracking a user's interaction with a resource or resources supplied by a server computer. When a user requests a Web page from a server for viewing using a Web browser, the user is redirected to a tracking server. The tracking server sends the requested Web page, with an embedded script to the user's computer along with an application program that can record the user's interaction with the Web page. As the user interacts with the Web page, input made by the user, such as mouse movements, button clicks, typing, etc. is streamed back to the tracking server by the application program. The recorded session may be later retrieved from the tracking server for playback. Based on the user's input, the tracked resource may be modified, such as making it more user friendly or more easily navigable.

Method and apparatus for tracking a user's interaction with a resource supplied by a server computer

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San Francisco, CA, United States of America

Brian Foster Allen