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    OPTIMAL PII-SAFE TRAINING SET GENERATION FOR SPEECH RECOGNITION MODEL
    2.
    发明公开
    OPTIMAL PII-SAFE TRAINING SET GENERATION FOR SPEECH RECOGNITION MODEL 审中-公开

    公开(公告)号：EP3813059A1

    公开(公告)日：2021-04-28

    申请号：EP19218256.6

    申请日：2019-12-19

    申请人： Greeneden U.S. Holdings II, LLC

    发明人： FAIZAKOF, Avraham ,  HAIKIN, Lev ,  MAZZA, Arnon ,  KONIG, Yochai ,  MOSEK, Shahar

    IPC分类号： G10L15/06 ,  G10L15/26 ,  G06F21/62 ,  H04M1/656

    摘要： A method comprising receiving, as input, one or more audio files; applying a trained speech recognition algorithm to said one or more audio files, to obtain textual output corresponding to each of said one or more audio files; extracting, based on said textual output, from each of said one or more audio files, one or more portions having a specified syntactic pattern; selecting a subset of said portions based on at least one of: (i) a content of said textual output associated with each of said portions, (ii) a duration of each of said portions, and (iii) a confidence score assigned by said trained speech recognition algorithm to said obtained textual output; receiving, as input, transcriptions of each of said portions; generating a re-training set comprising: (iv) said portions in said subset, and (iv) said transcriptions; and re-training said trained speech recognition algorithm on said re-training set.