公开(公告)号：US20250097337A1

公开(公告)日：2025-03-20

申请号：US18963241

申请日：2024-11-27

Applicant: Apple Inc.

Inventor： Catherine Jane VILHAUER ,  Srinivas CHAPPIDI ,  Elliott HILL ,  Ian A. SCRUBY ,  Alexander Roy GUBBAY

IPC: H04M1/2746 ,  G10L15/18 ,  G10L15/22 ,  H04M1/7243 ,  H04M1/72472

Abstract: Systems and processes for call assistance using contact suggestions are provided. For example, a first input including a name reference is received from a user. A response to the first input is provided, and a second input is received from the user. An outgoing call event associated with a contact identifier is detected within a predetermined time from receiving the second input. In accordance with a determination that the outgoing call event satisfies a predetermined criterion, an association between the name reference and the contact identifier is stored.

公开(公告)号：US20230112859A1

公开(公告)日：2023-04-13

申请号：US17574294

申请日：2022-01-12

Applicant: Apple Inc.

Inventor： Catherine Jane VILHAUER ,  Srinivas CHAPPIDI ,  Elliott HILL ,  Ian A. SCRUBY ,  Alexander Roy GUBBAY

IPC: H04M1/2746 ,  H04M1/72472 ,  G10L15/18 ,  G10L15/22 ,  H04M1/7243

Abstract: Systems and processes for call assistance using contact suggestions are provided. For example, a first input including a name reference is received from a user. A response to the first input is provided, and a second input is received from the user. An outgoing call event associated with a contact identifier is detected within a predetermined time from receiving the second input. In accordance with a determination that the outgoing call event satisfies a predetermined criterion, an association between the name reference and the contact identifier is stored.

公开(公告)号：US20200380963A1

公开(公告)日：2020-12-03

申请号：US16867226

申请日：2020-05-05

Applicant: Apple Inc.

Inventor： Srinivas CHAPPIDI ,  Arash DAWOODI

IPC: G10L15/18 ,  G10L15/06 ,  G10L15/22 ,  G10L15/197 ,  G06N3/04 ,  G06N3/08

Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example method includes, at an electronic device having one or more processors and memory: receiving a natural language speech input; determining, based on the natural language speech input, a plurality of candidate intents; obtaining contextual data associated with the user device; ranking, based on the contextual data, the plurality of candidate intents using a machine learning model, wherein the machine learning model is pre-trained at least partially on the user device; determining a user intent based on the ranked candidate intents; and performing a task corresponding to the determined user intent.