公开(公告)号：US20170200455A1

公开(公告)日：2017-07-13

申请号：US14162046

申请日：2014-01-23

Applicant: Google Inc.

Inventor： Vikram Aggarwal ,  Shir Yehoshua

IPC: G10L21/00

CPC classification number: G10L15/22 ,  G10L13/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for suggesting voice actions. The methods, systems, and apparatus include actions of receiving an utterance spoken by a user, wherein the utterance (i) includes a reference to an entity, and (ii) does not include a reference to any particular voice action. Additional actions include determining a set of voice actions that are characterized as appropriate to be performed in connection with the entity and determining a subset of the voice actions based at least on user profile data associated with the user. Further actions include prompting the user to select a voice action from among the voice actions of the subset and receiving data identifying a selected voice action. Additional actions include in response to receiving the data, generating a suggested voice command for performing the selected voice action in relation to the entity.

公开(公告)号：US10462619B2

公开(公告)日：2019-10-29

申请号：US15177327

申请日：2016-06-08

Applicant: Google Inc.

Inventor： Adrian Diaconu ,  Jing Qian ,  Jack Whyte ,  Ning Ma ,  Shir Yehoshua

IPC: G10L13/00 ,  G10L15/26 ,  H04W88/02 ,  G10L15/22 ,  H04W4/16 ,  H04W76/10 ,  G06F9/54

Abstract: Techniques are described herein for leveraging an online semantic processor to generate a finite state machine to be delivered to and implemented on a resource-constrained device. In various implementations, a user request may be received by a personal assistant module. Data indicative of the user request may be uploaded, e.g., by the personal assistant module, to an online semantic processor. Data may be received, e.g., by the personal assistant module, from the online semantic processor. The received data may represent a state machine having a plurality of candidate states of the personal assistant module. Each candidate state may be potentially responsive to the request. Resources local to the resource-constrained device may be analyzed to ascertain signal(s) unavailable to the online semantic processor. The personal assistant module may then transition to a given state of the plurality of candidate states. The given state may be selected based on the signal(s).

公开(公告)号：US20170359707A1

公开(公告)日：2017-12-14

申请号：US15177327

申请日：2016-06-08

Applicant: Google Inc.

Inventor： Adrian Diaconu ,  Jing Qian ,  Jack Whyte ,  Ning Ma ,  Shir Yehoshua

IPC: H04W4/16 ,  G10L13/00 ,  H04W76/02 ,  G10L15/26 ,  H04W88/02

Abstract: Techniques are described herein for leveraging an online semantic processor to generate a finite state machine to be delivered to and implemented on a resource-constrained device. In various implementations, a user request may be received by a personal assistant module. Data indicative of the user request may be uploaded, e.g., by the personal assistant module, to an online semantic processor. Data may be received, e.g., by the personal assistant module, from the online semantic processor. The received data may represent a state machine having a plurality of candidate states of the personal assistant module. Each candidate state may be potentially responsive to the request. Resources local to the resource-constrained device may be analyzed to ascertain signal(s) unavailable to the online semantic processor. The personal assistant module may then transition to a given state of the plurality of candidate states. The given state may be selected based on the signal(s).