Method for recognizing Chinese-English mixed speech, electronic device, and storage medium

    公开(公告)号:US11893977B2

    公开(公告)日:2024-02-06

    申请号:US17530276

    申请日:2021-11-18

    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.

    METHOD AND APPARATUS FOR TRAINING PATH REPRESENTATION MODEL

    公开(公告)号:US20220414689A1

    公开(公告)日:2022-12-29

    申请号:US17900649

    申请日:2022-08-31

    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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