公开(公告)号：US20230274737A1

公开(公告)日：2023-08-31

申请号：US18013083

申请日：2022-05-31

Applicant: Google LLC

Inventor： Keun Soo Yim ,  Ilya Firman ,  Adam Miller Coimbra ,  Robert James Berry ,  Mugurel Ionut Andreica ,  Mikhail Reutov ,  Gabriel Oak Taubman ,  Cliff Shan Kuang ,  Michael Oh ,  Svetoslav Radoslavov Ganov ,  Kalyana Ram Desineni

IPC: G10L15/22 ,  G10L15/18

CPC classification number: G10L15/22 ,  G10L15/1822 ,  G10L2015/223

Abstract: The present disclosure is directed to automating user interactions in an application. In particular, the computing device can determine, based on the input data, an intent associated with performing an action on the computing device. Additionally, the computing device can invoke, using an application-level assistant component configured to provide an application-level interface on the computing device, execution of an application. Moreover, the computing device can transmit, to a system-level assistant component configured to provide a system-level interface with the computing device, instructions to interface with an actionable component of the application. The instructions can be transmitted using a trusted intermediary component configured to facilitate an interface between the system-level assistant component and the application-level assistant component. Furthermore, the computing device can engage, using the system-level assistant component, the actionable component of the application to perform the action.

公开(公告)号：US20220148614A1

公开(公告)日：2022-05-12

申请号：US17437725

申请日：2019-06-03

Applicant: Google LLC

Inventor： Asa Jonas Ivry Block ,  Elliott Charles Burford ,  Anthony Felice Tripaldi ,  Stefanie Bianca Pitaro ,  Heather Patricia Luipold ,  Brian Kemler ,  Kelsie Hope Van Deman ,  Nadav Bar ,  Robert James Berry ,  Daniel Cohen ,  Michelle Ramanovich ,  Thomas Weedon Hume ,  Nicole Kiana Bleuel ,  Benjamin Schlesinger ,  Justin Wooyoung Lee ,  Kevin Rocard ,  Eric Laurent

IPC: G10L21/10 ,  G10L15/16 ,  G10L15/24 ,  G10L25/84

Abstract: Techniques and computing devices are described that automatically caption content directly from audio data being output from content sources, unlike other captioning systems which often rely on information contained in audio signals being sent to speakers. The disclosed techniques and computing devices may analyze metadata to determine whether the audio data is suitable for captioning or whether the audio data is some other type of audio data. Responsive to identifying audio data for captioning, the disclosed techniques and computing devices can generate a description of audible sounds interpreted from the audio data, providing for the automatic captioning of content and making audible content accessible to many users who have difficulty hearing or are otherise unable to listen to content.