公开(公告)号：US11854535B1

公开(公告)日：2023-12-26

申请号：US16365033

申请日：2019-03-26

Applicant: Amazon Technologies, Inc.

Inventor： Sihui Zhang ,  Amber Roy Chowdhury ,  Hassan Haider Malik ,  Sanjay Kumar ,  Uday S. Sandhar ,  Pawel Matykiewicz ,  Ming Ma ,  Anand Vishwanath Suvarnkar

IPC: G10L15/22 ,  G10L15/08 ,  G10L15/18 ,  G10L15/16

CPC classification number: G10L15/08 ,  G10L15/18 ,  G10L15/1815 ,  G10L15/1822 ,  G10L15/22 ,  G10L15/16 ,  G10L2015/223 ,  G10L2015/227

Abstract: Devices and techniques are generally described for machine learning personalization as a service for speech processing applications. In various examples, a first request for machine learning prediction for a first speech processing skill. First skill data schema data may be received that describes content of the first speech processing skill. A first machine learning model for the first speech processing skill may be determined. A first feature definition describing a first aspect of the content may be determined. A second feature definition describing user profile data may be determined. A prediction request may be received from the first speech processing skill. First feature data may be generated according to the first feature definition and second feature data may be generated according to the second feature definition based at least in part on the prediction request. The first machine learning model may generate prediction data based at least in part on the prediction request, the first feature data, and the second feature data.

公开(公告)号：US11120800B1

公开(公告)日：2021-09-14

申请号：US16580983

申请日：2019-09-24

Applicant: Amazon Technologies, Inc.

Inventor： Timothy Kay Cheng ,  Scott G. LeBaron ,  Carl Joshua Dell ,  Marcio Furlani Carmona ,  Nitin Tak ,  Anand Vishwanath Suvarnkar

IPC: G10L15/22 ,  G06N20/00 ,  G10L15/26

Abstract: Techniques for performing feature computation are described. A system may gather and analyze event data to generate a timeline of the event data and corresponding feature data (e.g., statistical values representing the event data). The system can create a customized timeline that allows information to be sorted and aggregated in different timescales to improve speech processing and other functionality. For example, a feature computation system may calculate statistics and other information based on interactions with a speech processing system. These statistics provide information about previous interactions that may be leveraged to interpret future voice commands.