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    • 5. 发明授权
    • Method for reranking speech recognition results
    • 重新排列语音识别结果的方法
    • US09390710B2
    • 2016-07-12
    • US14604991
    • 2015-01-26
    • SOGANG UNIVERSITY RESEARCH FOUNDATIONKANGWON NATIONAL UNIVERSITY UNIVERSITY-INDUSTRY COOPERATION FOUNDATION
    • Jung Yun SeoSang Woo KangMyoung-Wan KooHark Soo KimHyeok Ju AhnYeong Kil SongMaeng Sik Choi
    • G10L15/06
    • G10L15/063G10L15/08G10L25/27G10L2015/0635
    • Provided is a speech recognition method using machine learning, including: receiving a speech signal as an input, performing speech recognition to generate speech recognition result information including multiple candidate sentences and ranks of the respective candidate sentences; processing the multiple candidate sentences included in the speech recognition result information according to a machine learning model which is learned in advance and changing the ranks of the multiple candidate sentences to re-rank the multiple candidate sentences; and selecting the highest-rank candidate sentence among the re-ranked multiple candidate sentences as a speech recognition result. Particularly, the machine learning model is generated by: receiving the speech signal and a correct answer sentence as inputs; generating the speech recognition result information and a correct answer set; generating learning data by using the correct answer set; and performing the machine learning of changing the ranks of the candidate sentences.
    • 提供了一种使用机器学习的语音识别方法,包括:接收语音信号作为输入,执行语音识别以产生包括各候选语句的多个候选句子和等级的语音识别结果信息; 根据预先学习的机器学习模型来处理包括在语音识别结果信息中的多个候选句子,并且改变多个候选句子的等级以重新排列多个候选句子; 并且在重新排列的多个候选句子中选择最高等级的候选句子作为语音识别结果。 特别地,机器学习模型通过以下方式产生:接收语音信号和正确答案作为输入; 生成语音识别结果信息和正确答案集; 通过使用正确的答案集生成学习数据; 并执行机器学习改变候选句子的行列。