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公开(公告)号:US20220329966A1
公开(公告)日:2022-10-13
申请号:US17851795
申请日:2022-06-28
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Yangwook KIM , Seungho LEE , Woohyun NAM
Abstract: An electronic apparatus is provided. The electronic apparatus includes a camera, a processor and a memory configured to store at least one instruction executable by the processor where and the processor is configured to input audio data to an artificial intelligence model corresponding to user information, and obtain output audio data from the artificial intelligence model, and the artificial intelligence model is a model learned based on first learning audio data obtained by recording a sound source with a first recording device, second learning audio data obtained by recording the sound source with a second recording device, and information on a recording device for obtaining the second learning audio data, and the second learning audio data is binaural audio data.
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公开(公告)号:US20210352389A1
公开(公告)日:2021-11-11
申请号:US17277824
申请日:2019-06-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Seungho LEE
Abstract: The disclosure relates to an electronic apparatus including: a speaker including a transducer provided in an enclosure of a housing and configured to perform an amplitude movement based on a first driving signal, and an active radiator configured to perform an amplitude movement based on a rear wave due to the amplitude movement of the transducer and a second driving signal; and an amplifier configured to output the first driving signal corresponding to the sound signal and the second driving signal which complements the amplitude movement of the active radiator based on the rear wave of the transducer and allows an output sound pressure of the active radiator to be a target value.
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公开(公告)号:US20200213736A1
公开(公告)日:2020-07-02
申请号:US16727346
申请日:2019-12-26
Applicant: Samsung Electronics Co., Ltd.
Inventor: Yangwook KIM , Woohyun NAM , Seungho LEE
Abstract: Provided are an artificial intelligence (AI) system using a machine learning algorithm such as deep learning and an application of the AI system. Provided is a method of converting sound data, the method including acquiring binaural sound data; converting the binaural sound data by using a pre-generated training network model, based on a parameter indicating a context at a time of acquiring the binaural sound data; and outputting the converted binaural sound data.
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