公开(公告)号：US12008091B2

公开(公告)日：2024-06-11

申请号：US17018150

申请日：2020-09-11

Applicant: Cisco Technology, Inc.

Inventor： Eric Yi-Hua Chen

IPC: G06F21/32 ,  G06F16/635 ,  G06V40/50 ,  G10L15/26

CPC classification number: G06F21/32 ,  G06F16/636 ,  G06V40/50 ,  G10L15/26

Abstract: A system and method for authenticating a user via a single voice audio input is disclosed. The method includes obtaining voice audio from a user, converting the voice audio to text, comparing at least a portion of the text to a database, determining whether a user profile exists in the database based on the comparing, the user profile including a voiceprint, in response to determining that the user profile exists in the database, analyzing the voice audio against the voiceprint of the user profile; and authenticating the user based on the voice audio substantially matching the voiceprint of the user profile.

公开(公告)号：US20220101834A1

公开(公告)日：2022-03-31

申请号：US17036864

申请日：2020-09-29

Applicant: Cisco Technology, Inc.

Inventor： Eric Yi-Hua Chen ,  Keith Griffin

IPC: G10L15/183 ,  G10L15/18 ,  G10L15/06

Abstract: A system and method for training a virtual assistant to recognize and learn new context for known terms is presented. The method includes receiving a natural language input, corresponding to at least one of a desired intent and a desired entity, at a natural language processor. The method involves scoring known intents based on the natural language input to generate an intent confidence score for each known intent, and scoring known entities based on the natural language input to generate an entity confidence score for each known entity. The method involves comparing the intent confidence scores and entity confidence scores to a threshold value, and determining that the natural language input does not correspond to at least one of the known intents and the known entities based on the comparing. Finally, at least one of a new intent and a new entity are determined based on the natural language input.

公开(公告)号：US11568862B2

公开(公告)日：2023-01-31

申请号：US17036864

申请日：2020-09-29

Applicant: Cisco Technology, Inc.

Inventor： Eric Yi-Hua Chen ,  Keith Griffin

IPC: G10L15/183 ,  G10L15/06 ,  G10L15/18

Abstract: A system and method for training a virtual assistant to recognize and learn new context for known terms is presented. The method includes receiving a natural language input, corresponding to at least one of a desired intent and a desired entity, at a natural language processor. The method involves scoring known intents based on the natural language input to generate an intent confidence score for each known intent, and scoring known entities based on the natural language input to generate an entity confidence score for each known entity. The method involves comparing the intent confidence scores and entity confidence scores to a threshold value, and determining that the natural language input does not correspond to at least one of the known intents and the known entities based on the comparing. Finally, at least one of a new intent and a new entity are determined based on the natural language input.