公开(公告)号：US20240119096A1

公开(公告)日：2024-04-11

申请号：US18217831

申请日：2023-07-03

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Chengjun WANG ,  Bo PENG ,  Jie CHEN

IPC: G06F16/953 ,  G06F16/951 ,  G06F21/31

CPC classification number: G06F16/953 ,  G06F16/951 ,  G06F21/31

Abstract: A meta-searching method, including determining a target metaverse for a current search using intent classification based on an inquiry text included in a searching request of a user; extracting a searching clue and a clue type; selecting a current search engine for performing the current search using the target metaverse and the clue type by prioritizing a search engine associated with the target metaverse; performing identity authentication using the user account information of the user in the target metaverse prior to the search based on determining that user account information is required to search for the searching clue for performing a search using the current search engine, and performing the search using the current search engine based on the searching clue; and providing the search results to the user.

公开(公告)号：US20200228648A1

公开(公告)日：2020-07-16

申请号：US16739662

申请日：2020-01-10

Applicant: Samsung Electronics Co., Ltd.

Inventor： Chengjun WANG ,  Xin LIU ,  Feng TANG ,  Suxia LI ,  Bo PENG ,  Lei WAN

IPC: H04M3/22 ,  H04M3/42 ,  G06N3/08

Abstract: A method and an apparatus for detecting an abnormality of a caller are provided. The method includes at the beginning of a call, acquiring, by a terminal device, real voice/video data of a call object who needs abnormality detection and a corresponding pre-trained multi-stage neural network detection model, during the call, collecting, by the terminal device, call data according to a preset data collection policy, for each call object, inputting the currently collected call data and the real voice/video data of the call object into the model of the call object, and determining whether the call object is abnormal according to a detection result output by the model, in which the call data includes image data and/or voice data, and an identification manner adopted by the model includes face identification, voiceprint identification, limb movement identification, and/or lip language identification. By adopting the disclosure, the abnormality of the caller may be accurately detected, and the voice forgery and the video forgery mimicked by AI during a call may be accurately identified.