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公开(公告)号:US20200090639A1
公开(公告)日:2020-03-19
申请号:US16242325
申请日:2019-01-08
Applicant: Quanta Computer Inc.
Inventor: Yi-Ling CHEN , Chih-Wei SUNG , Yu-Cheng CHIEN , Kuan-Chung CHEN
Abstract: The speech correction system includes a storage device, an audio receiver and a processing device. The processing device includes a speech recognition engine and a determination module. The storage device is configured to store a database. The audio receiver is configured to receive an audio signal. The speech recognition engine is configured to identify a key speech pattern in the audio signal and generate a candidate vocabulary list and a transcode corresponding to the key speech pattern; wherein the candidate vocabulary list includes a candidate vocabulary corresponding to the key speech pattern and a vocabulary score corresponding to the candidate vocabulary. The determination module is configured to determine whether the vocabulary score is greater than a score threshold. If the vocabulary score is greater than the score threshold, the determination module stores the candidate vocabulary corresponding to the vocabulary score in the database.
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公开(公告)号:US20190355137A1
公开(公告)日:2019-11-21
申请号:US16211354
申请日:2018-12-06
Applicant: Quanta Computer Inc.
Inventor: Kai-Ju CHENG , Yu-Cheng CHIEN , Yi-Ling CHEN , Kuan-Chung CHEN
IPC: G06T7/521
Abstract: A method for improving the efficiency of reconstructing a three-dimensional model is provided. The method includes: dividing a series of different Gray code binary illumination patterns into a plurality of groups; converting binary values of Gray code binary illumination patterns in each group to a plurality of sets of two specific values to generate decimal illumination patterns corresponding to the specific values; overlapping the decimal illumination patterns in each group to a grayscale illumination pattern; using a projector to project each grayscale illumination pattern onto an object from a projection direction; using a camera to capture one or more object images of the object; reverting the object images to non-overlapping Gray code binary images corresponding to the object images; and reconstructing the depth of the object according to the non-overlapping Gray code binary images..
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