公开(公告)号：US20210012777A1

公开(公告)日：2021-01-14

申请号：US16936967

申请日：2020-07-23

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Yang LIANG ,  Kun LIU ,  Shuangshuang QIAO ,  Xiangyue LIN ,  Chao HAN ,  Mingfa ZHU ,  Jiangliang GUO ,  Xu LI ,  Jun LIU ,  Shuo LI ,  Shiming YIN

IPC: G10L15/25 ,  G10L25/57 ,  G06K9/00

Abstract: Embodiments of the present disclosure provide a context acquiring method based on voice interaction and a device, the method comprising: acquiring a scene image collected by an image collection device at a voice start point of a current conversation, and extracting a face feature of each user in the scene image; if it is determined that there is a second face feature matching a first face feature according to the face feature of each user and a face database, acquiring a first user identifier corresponding to the second face feature from the face database; if it is determined that a stored conversation corresponding to the first user identifier is stored in a voice database, determine a context of a voice interaction according to the current conversation and the stored conversation, and after the voice end point of the current conversation is obtained, storing the current conversation into the voice database.

公开(公告)号：US20230206007A1

公开(公告)日：2023-06-29

申请号：US18179521

申请日：2023-03-07

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Kun LIU ,  Kai LIU

IPC: G06F40/30 ,  G06F16/332 ,  G06F16/335 ,  G06F16/35

CPC classification number: G06F40/30 ,  G06F16/35 ,  G06F16/335 ,  G06F16/3329

Abstract: In a method for mining a conversation content, conversation to be mined is obtained. The conversation to be mined includes a platform conversation content. A user profile and a product profile corresponding to the conversation to be mined are obtained. The conversation to be mined is divided into a plurality types of semantic units. Clustered platform conversation contents are generated by clustering the platform conversation content based on intents of the platform conversation content corresponding to the plurality types of semantic units, the user profile and the product profile. Intents of the platform conversation content corresponding to the same type of semantic units are the same or similar. A target conversation content in the clustered platform conversation contents is determined based on the clustered platform conversation contents and a conversation content evaluation model.