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公开(公告)号:US12087283B2
公开(公告)日:2024-09-10
申请号:US17484516
申请日:2021-09-24
Applicant: Samsung Electronics Co., Ltd.
Inventor: Dohyeong Hwang , Jongyeong Shin
CPC classification number: G10L15/08 , A47L9/2805 , A47L9/2857 , G10L25/78 , G10L2015/088 , G10L2025/783
Abstract: An electronic apparatus and a controlling method thereof are provided. The electronic apparatus includes a communication interface configured to communicate with other electronic apparatuses, a memory configured to store location information of the electronic apparatus and the other electronic apparatuses, a microphone configured to detect sound using a plurality of channels, and a processor configured to, based on a voice recognition function being activated, perform a voice recognition operation regarding a user's uttered voice received through the microphone, based on a trigger voice being identified through the microphone, identify an utterance direction of the trigger voice, control the communication interface to share the identified utterance direction with the other electronic apparatuses, estimate an utterance location based on information regarding the utterance direction received from the other electronic apparatuses and the identified utterance direction, and activate a voice recognition function based on the stored location information and the estimated utterance location.
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公开(公告)号:US11551687B2
公开(公告)日:2023-01-10
申请号:US16935425
申请日:2020-07-22
Applicant: Samsung Electronics Co., Ltd.
Inventor: Dohyeong Hwang , Jongyeong Shin , Guwon Jeong , Hyoung-Jin Lee
Abstract: An electronic device for recognizing a user's speech and a speech recognition method therefor are provided. The electronic device includes a microphone configured to receive a user's speech, a memory for storing speech recognition models, and at least one processor configured to select a speech recognition model from among the speech recognition models stored in the memory based on an operation state of the electronic device, and recognize the user's speech received by the microphone based on the selected speech recognition model.
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