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公开(公告)号:US12183323B2
公开(公告)日:2024-12-31
申请号:US17644749
申请日:2021-12-16
Inventor: Xiaoyin Fu , Mingxin Liang , Zhijie Chen , Qiguang Zang , Zhengxiang Jiang , Liao Zhang , Qi Zhang , Lei Jia
IPC: G10L15/02 , G10L15/16 , G10L19/032
Abstract: The present disclosure provides a method of recognizing speech offline, electronic device, and a storage medium, relating to a field of artificial intelligence such as speech recognition, natural language processing, and deep learning. The method may include: decoding speech data to be recognized into a syllable recognition result; transforming the syllable recognition result into a corresponding text as a speech recognition result of the speech data.
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2.
公开(公告)号:US11893977B2
公开(公告)日:2024-02-06
申请号:US17530276
申请日:2021-11-18
Inventor: Zhijian Wang , Sheng Qian , Qi Zhang
IPC: G10L15/183 , G10L15/00 , G10L15/32
CPC classification number: G10L15/005 , G10L15/183 , G10L15/32
Abstract: A method for recognizing a Chinese-English mixed speech, includes: determining pronunciation information and scores of a language model, of speech information, in response to receiving the speech information; determining whether an English word exists in content of the speech information based on the pronunciation information; determining a Chinese word corresponding to the English word based on a preset Chinese-English mapping table in response to the English word existing in the content of the speech information, in which the Chinese-English mapping table includes a mapping relationship of at least one pair of English word and Chinese word; determining a score of the Chinese word corresponding to the English word; replacing a score of the English word in the scores of the language model with the score of the Chinese word; and obtaining a speech recognition result for the speech information based on the replaced scores of the language model.
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3.
公开(公告)号:US20230232116A1
公开(公告)日:2023-07-20
申请号:US18156187
申请日:2023-01-18
Inventor: Qi Zhang , Dongliang He , Xin Li
IPC: H04N23/741 , G06T3/40 , G06T5/00 , G06T5/50
CPC classification number: H04N23/741 , G06T3/40 , G06T5/007 , G06T5/50 , G06T2207/20081 , G06T2207/20208 , G06T2207/20221
Abstract: Provided are a video conversion method, an electronic device and a non-transitory computer readable storage medium. The implementation scheme is as follows: a to-be-converted SDR video is acquired; one frame is extracted from the to-be-converted SDR video to serve as a current SDR image, the current SDR image is input into a parameter predictor and a generator, and an adjustment parameter corresponding to the current SDR image is output from the parameter predictor; the adjustment parameter corresponding to the current SDR image is input into the generator, and an HDR image corresponding to the current SDR image is output from the generator; and the operation described above is repeatedly performed until frames are converted into HDR images each of which corresponds to a respective frame of the frames; and a corresponding HDR video is generated based on the HDR images corresponding to the frames.
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公开(公告)号:US20230230205A1
公开(公告)日:2023-07-20
申请号:US18155901
申请日:2023-01-18
Inventor: Xin Li , Dongliang He , Qi Zhang
CPC classification number: G06T5/001 , G06T3/40 , G06T2207/20081 , G06T2207/20084 , G06T2207/20016 , G06T2207/10024
Abstract: Provided are an image enhancement method and apparatus, an electronic device, and a storage medium. The image enhancement method includes: acquiring an original image, and configuring the original image as a current image; selecting a renderer from a plurality of pre-trained renderers as a current renderer in response to the current image satisfying a preset enhancement condition; and inputting the current image to the current renderer, and outputting, through the current renderer, an enhanced image of the current image in a dimension corresponding to the current renderer; and repeating the preceding operation by configuring the enhanced image of the current image in the dimension corresponding to the current renderer as the current image until the current image does not satisfy the enhancement condition.
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公开(公告)号:US20220414689A1
公开(公告)日:2022-12-29
申请号:US17900649
申请日:2022-08-31
Inventor: Qi Zhang , Hengshu Zhu , Peng Wang , Hao Liu , Hui Xiong
Abstract: A method and an apparatus for training a path representation model are provided. The method may include: acquiring at least one trajectory point of at least one user, where each trajectory point of each user includes a place passed by the user, a start time and a duration; inputting the at least one trajectory point of the at least one user into a pre-trained model to obtain a trajectory representation of each user; obtaining, for each user, a position of each trajectory point from the trajectory representation of the user by searching according to the start time and the duration of each trajectory point of the user; and adjusting a network parameter of the pre-trained model according to a difference between the place passed by each user and the position of each trajectory point obtained by searching, to obtain a path representation model.
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