公开(公告)号：US11012575B1

公开(公告)日：2021-05-18

申请号：US15897761

申请日：2018-02-15

Applicant: Amazon Technologies, Inc.

Inventor： Jonathan Alan Leblang ,  Gary Zhong ,  Milo Oostergo ,  Cassity Barrows Queen ,  Aakarsh Nair ,  Collin Charles Davis ,  Richard Christopher Green ,  Yu-Hsiang Cheng ,  Kevin Crews

IPC: H04M3/56 ,  G06Q10/10 ,  G06F3/16 ,  G10L15/26 ,  G06N3/02 ,  G06N7/00 ,  G06N3/04 ,  G06N20/00 ,  G06N5/04 ,  G06N5/00 ,  G06N3/08 ,  G06N5/02 ,  G06Q10/06 ,  G06Q10/00

Abstract: Techniques for selecting a meeting to join in response to a voice command from a user are described herein. A user may utter a voice command to “join my meeting” and, in response, the techniques may access a calendar associated with the user to identify the call-in information used to join the meeting. If the calendar indicates that the user is listed as an invitee for multiple meetings at the current time, then the techniques may analyze an array of criteria to determine which meeting the user most likely would like to join.

公开(公告)号：US11355098B1

公开(公告)日：2022-06-07

申请号：US16219382

申请日：2018-12-13

Applicant: Amazon Technologies, Inc.

Inventor： Gary Zhong ,  Milo Oostergo ,  Cassity Barrows Queen ,  Aakarsh Nair ,  Collin Charles Davis ,  Yu-Hsiang Cheng

IPC: G10L15/01 ,  G10L15/22 ,  G10L15/18

Abstract: This disclosure describes a feedback service that collects feedback for skills, or capabilities, of a virtual assistant that interacts with users, and associates the feedback with the appropriate skills. Virtual assistants interact with users via voice-enabled devices that are backed by voice-processing systems that support various skills of the virtual assistants. Due to large numbers of skills, users are unable to determine which skill is invoked during interactions with virtual assistants, and are thus unable to provide feedback for the skill. The techniques described herein include continuing a speech dialogue with a user after completion of an interaction, and requesting feedback regarding the interaction. Additionally, the techniques may include collecting contextual data for the interaction (e.g., dropped packets, latency caused by jitter, etc.). The feedback service can associate the feedback and contextual data with the particular skill used in the interaction to improve the functioning of the virtual assistant.