公开(公告)号：US20250036738A1

公开(公告)日：2025-01-30

申请号：US18918910

申请日：2024-10-17

Applicant: Samsung Electronics Co., Ltd.

Inventor： Dmytro PROGONOV ,  Andrii ASTRAKHANTSEV ,  Oleksandra SOKOL ,  Dmytro DEGTIAROV ,  Heorhii NAUMENKO ,  Ivan SHAPOVAL ,  Kyrylo ROMANII ,  Maksym ZEMLIANOI ,  Viacheslav DERKACH ,  Yevgen ROMANKO

IPC: G06F21/32

Abstract: An electronic device and a method of controlling the electronic device are provided. The electronic device includes at least one motion sensor, at least one biometric sensor, memory storing one or more computer programs, and one or more processors communicatively coupled to the at least one motion sensor, the at least one biometric sensor, and the memory, wherein the one or more computer programs include computer-executable instructions that, when executed by the one or more processors cause the electronic device to, based on receiving a request for user authentication, acquire a first signal through the at least one motion sensor, and acquire a second signal through the at least one biometric sensor, acquire motion information indicating a type of a user's motion based on the first signal, acquire biometric information indicating a biometric feature of a user according to the motion of the user based on the second signal, and input the motion information and the biometric information into a user authentication model, and perform the user authentication according to whether the type of the motion and the biometric feature match authentication information.

公开(公告)号：US20240194206A1

公开(公告)日：2024-06-13

申请号：US18438225

申请日：2024-02-09

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Oleksandra SOKOL ,  Dmytro PROGONOV ,  Heorhii NAUMENKO ,  Kostiantyn VOLOBUIEV ,  Vasyl KUZNETSOV ,  Viacheslav DERKACH

IPC: G10L17/26 ,  G10L17/02 ,  G10L17/04 ,  G10L17/06 ,  G10L25/63

CPC classification number: G10L17/26 ,  G10L17/02 ,  G10L17/04 ,  G10L17/06 ,  G10L25/63

Abstract: An electronic device includes a microphone, and at least one processor configured to, based on receiving voice data through the microphone, input the voice data into a non-semantic feature extractor model and acquire a non-semantic feature included in the voice data using the non-semantic feature extractor model, input the non-semantic feature into a synthetic voice classifier model and classify the voice data into a synthetic voice or a user voice the synthetic voice classifier model, and provide a result of the classification, and the synthetic voice classifier model is a model that is transfer-learned based on the non-semantic feature extractor model.