公开(公告)号：US11301477B2

公开(公告)日：2022-04-12

申请号：US15675637

申请日：2017-08-11

Applicant: Apple Inc.

Inventor： Gennaro Frazzingaro ,  Ashish Garg ,  Blaise Thomson ,  Anuj Kumar ,  Rushin N. Shah ,  Matthew S. Seigel ,  Lin Li

IPC: G06F16/00 ,  G06F16/2455 ,  G06F21/62 ,  G06F3/16 ,  G06F16/2458 ,  G06F16/2457 ,  G06N5/02 ,  G06F40/30 ,  G06N20/00 ,  G06F16/242 ,  G06N7/00 ,  G06N3/04

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In accordance with one example, a method includes, at an electronic device with one or more processors and memory, obtaining a first set of data corresponding to one or more interactions between a user and the digital assistant on the electronic device; obtaining a second set of data corresponding to one or more interactions between the user and an application on the electronic device; and storing the first set of data and the second set of data. The method further includes receiving a set of executable instructions; processing, based on the received set of executable instructions, the first set of data and the second set of data to obtain a third set of data; and transmitting the third set of data to a remote electronic device.

公开(公告)号：US10332518B2

公开(公告)日：2019-06-25

申请号：US15677886

申请日：2017-08-15

Applicant: Apple Inc.

Inventor： Ashish Garg ,  Harry J. Saddler ,  Shweta Grampurohit ,  Robert A. Walker ,  Rushin N. Shah ,  Matthew S. Seigel ,  Matthias Paulik

IPC: G10L15/00 ,  G10L15/22 ,  G10L15/18 ,  G06F3/16 ,  G10L15/30

Abstract: Speech recognition is performed on a received utterance to determine a plurality of candidate text representations of the utterance, including a primary text representation and one or more alternative text representations. Natural language processing is performed on the primary text representation to determine a plurality of candidate actionable intents, including a primary actionable intent and one or more alternative actionable intents. A result is determined based on the primary actionable intent. The result is provided to the user. A recognition correction trigger is detected. In response to detecting the recognition correction trigger, a set of alternative intent affordances and a set of alternative text affordances are concurrently displayed.

公开(公告)号：US10741181B2

公开(公告)日：2020-08-11

申请号：US16412137

申请日：2019-05-14

Applicant: Apple Inc.

Inventor： Ashish Garg ,  Harry J. Saddler ,  Shweta Grampurohit ,  Robert A. Walker ,  Rushin N. Shah ,  Matthew S. Seigel ,  Matthias Paulik

IPC: G10L15/00 ,  G10L15/22 ,  G10L15/18 ,  G06F3/16 ,  G10L15/30

Abstract: Speech recognition is performed on a received utterance to determine a plurality of candidate text representations of the utterance, including a primary text representation and one or more alternative text representations. Natural language processing is performed on the primary text representation to determine a plurality of candidate actionable intents, including a primary actionable intent and one or more alternative actionable intents. A result is determined based on the primary actionable intent. The result is provided to the user. A recognition correction trigger is detected. In response to detecting the recognition correction trigger, a set of alternative intent affordances and a set of alternative text affordances are concurrently displayed.

公开(公告)号：US09972304B2

公开(公告)日：2018-05-15

申请号：US15266949

申请日：2016-09-15

Applicant: Apple Inc.

Inventor： Matthias Paulik ,  Henry G. Mason ,  Matthew S. Seigel

IPC: G10L15/01 ,  G10L15/30 ,  G10L15/07 ,  G10L15/06

CPC classification number: G10L15/01 ,  G10L15/063 ,  G10L15/07 ,  G10L15/26 ,  G10L15/30 ,  G10L15/32

Abstract: Systems and processes for evaluating embedded personalized systems are provided. In one example process, instructions that define an experiment associated with a personalized speech recognition system can be received. The instructions can define one or more experimental parameters. In accordance with the received instructions, a second personalized speech recognition system can be generated based on the personalized speech recognition system and the one or more experimental parameters. Additionally, the plurality of user speech samples can be processed using the second personalized speech recognition system to generate a plurality of speech recognition results and a plurality of accuracy scores corresponding to the plurality of speech recognition results. Second instructions can be received based on the plurality of accuracy scores. In accordance with the second instructions, the second speech recognition system can be activated.