-
公开(公告)号:US20190087685A1
公开(公告)日:2019-03-21
申请号:US16102837
申请日:2018-08-14
Inventor: Tian WU , Wensong HE , Lei HAN , Xiao ZHOU
Abstract: The present disclosure proposes a method and an apparatus for recommending sample data. The method may include: inputting a plurality of pieces of sample data to be classified into at least one preset classification model, and acquiring a classifying probability of classifying each piece of sample data into each classification model; acquiring a first distance between each piece of sample data and a classifying boundary of each classification model according to the classifying probability of classifying the piece of sample data into the classification model, in which the classifying boundary of the classification model is configured to distinguish positive and negative sample data; computing a target distance for each piece of sample data according to the first distance between each piece of sample data and the classifying boundary of each classification model.
-
2.
公开(公告)号:US20180342233A1
公开(公告)日:2018-11-29
申请号:US15986273
申请日:2018-05-22
Inventor: Hehan LI , Wensong HE
Abstract: The present disclosure provides a method and apparatus for correcting a speech recognition error based on artificial intelligence, and a storage medium, wherein the method comprises: obtaining a second speech recognition result of a second speech query input by the user; performing error-correcting intention recognition according to the second speech recognition result; extracting error-correcting information from the second speech recognition result when it is determined that the user has an error-correcting intention; screening error-correcting resources according to the error-correcting information, and using a selected best-matched error-correcting resource to perform error correction for the first speech recognition result, the first speech recognition result being a speech recognition result of a first speech query which is input before the second speech query. The solution of the present disclosure may be applied to improve accuracy of error-correcting results and reduce the error-correcting difficulty.
-