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    • 6. 发明授权
    • Method and system for modeling a common-language speech recognition, by a computer, under the influence of a plurality of dialects
    • 在多个方言的影响下,由计算机对共同语言语音识别进行建模的方法和系统
    • US08712773B2
    • 2014-04-29
    • US12608191
    • 2009-10-29
    • Fang ZhengXi XiaoLinquan LiuZhan YouWenxiao CaoMakoto AkabaneRuxin ChenYoshikazu Takahashi
    • Fang ZhengXi XiaoLinquan LiuZhan YouWenxiao CaoMakoto AkabaneRuxin ChenYoshikazu Takahashi
    • G10L15/00
    • G10L15/187
    • The present invention relates to a method for modeling a common-language speech recognition, by a computer, under the influence of multiple dialects and concerns a technical field of speech recognition by a computer. In this method, a triphone standard common-language model is first generated based on training data of standard common language, and first and second monophone dialectal-accented common-language models are based on development data of dialectal-accented common languages of first kind and second kind, respectively. Then a temporary merged model is obtained in a manner that the first dialectal-accented common-language model is merged into the standard common-language model according to a first confusion matrix obtained by recognizing the development data of first dialectal-accented common language using the standard common-language model. Finally, a recognition model is obtained in a manner that the second dialectal-accented common-language model is merged into the temporary merged model according to a second confusion matrix generated by recognizing the development data of second dialectal-accented common language by the temporary merged model. This method effectively enhances the operating efficiency and admittedly raises the recognition rate for the dialectal-accented common language. The recognition rate for the standard common language is also raised.
    • 本发明涉及一种通过计算机在多种方言的影响下对共同语言语音识别进行建模的方法,并涉及计算机的语音识别技术领域。 在这种方法中,首先基于标准通用语言的训练数据生成三通电话标准通用语言模型,第一和第二单音方言重点共同语言模型基于第一种方言重音通用语言的开发数据, 第二类。 然后按照第一个方言重音的共同语言模型按照第一个混淆矩阵将第一个方言重音的共同语言模型合并到第一个混淆矩阵中的方式获得临时合并模型,该第一混淆矩阵通过使用 标准通用语言模型。 最后,根据通过临时合并识别第二方言重音的共同语言的开发数据产生的第二混淆矩阵,将第二方言重音的共同语言模型合并到临时合并模型中,获得识别模型 模型。 这种方法有效提高了运营效率,并且提高了方言重音普通语言的识别率。 标准通用语言的识别率也提高了。
    • 8. 发明申请
    • METHOD AND SYSTEM FOR MODELING A COMMON-LANGUAGE SPEECH RECOGNITION, BY A COMPUTER, UNDER THE INFLUENCE OF A PLURALITY OF DIALECTS
    • 在大量对话的影响下,由计算机建模常见语音识别的方法和系统
    • US20100121640A1
    • 2010-05-13
    • US12608191
    • 2009-10-29
    • Fang ZhengXi XiaoLinquan LiuZhan YouWenxiao CaoMakoto AkabaneRuxin ChenYoshikazu Takahashi
    • Fang ZhengXi XiaoLinquan LiuZhan YouWenxiao CaoMakoto AkabaneRuxin ChenYoshikazu Takahashi
    • G10L15/06G10L15/00
    • G10L15/187
    • The present invention relates to a method for modeling a common-language speech recognition, by a computer, under the influence of multiple dialects and concerns a technical field of speech recognition by a computer. In this method, a triphone standard common-language model is first generated based on training data of standard common language, and first and second monophone dialectal-accented common-language models are based on development data of dialectal-accented common languages of first kind and second kind, respectively. Then a temporary merged model is obtained in a manner that the first dialectal-accented common-language model is merged into the standard common-language model according to a first confusion matrix obtained by recognizing the development data of first dialectal-accented common language using the standard common-language model. Finally, a recognition model is obtained in a manner that the second dialectal-accented common-language model is merged into the temporary merged model according to a second confusion matrix generated by recognizing the development data of second dialectal-accented common language by the temporary merged model. This method effectively enhances the operating efficiency and admittedly raises the recognition rate for the dialectal-accented common language. The recognition rate for the standard common language is also raised.
    • 本发明涉及一种通过计算机在多种方言的影响下对共同语言语音识别进行建模的方法,并涉及计算机的语音识别技术领域。 在这种方法中,首先基于标准通用语言的训练数据生成三通电话标准通用语言模型,第一和第二单音方言重点共同语言模型基于第一种方言重音通用语言的开发数据, 第二类。 然后按照第一个方言重音的共同语言模型按照第一个混淆矩阵将第一个方言重音的共同语言模型合并到第一个混淆矩阵中的方式获得临时合并模型,该第一混淆矩阵通过使用 标准通用语言模型。 最后,根据通过临时合并识别第二方言重音的共同语言的开发数据产生的第二混淆矩阵,将第二方言重音的共同语言模型合并到临时合并模型中,获得识别模型 模型。 这种方法有效提高了运营效率,并且提高了方言重音普通语言的识别率。 标准通用语言的识别率也提高了。