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    • 2. 发明授权
    • Voice recognition system, voice recognition method, and program for voice recognition
    • 语音识别系统,语音识别方法和语音识别程序
    • US08639507B2
    • 2014-01-28
    • US12808393
    • 2008-12-22
    • Fumihiro AdachiRyosuke IsotaniKen Hanazawa
    • Fumihiro AdachiRyosuke IsotaniKen Hanazawa
    • G10L15/00
    • G10L15/08
    • The present invention enables the recognition process at high speed even when a lot of garbage is included in the grammar. The first voice recognition processing unit generates a recognition hypothesis graph which indicates a structure of hypothesis that is derived according to a first grammar together with a score associated with respective connections of a recognition unit by executing a voice recognition process based on the first grammar to a voice feature amount of input voice, and the second voice recognition processing unit outputs the recognition result from a total score of a hypothesis which is derived according to a second grammar after executing a voice recognition process according to the second grammar that is specified to accept a section other than keywords in input voice as the garbage section to a voice feature amount of input voice, and the second voice recognition processing unit acquires the structure and the score of the garbage section from the recognition hypothesis graph.
    • 本发明即使在语法中包含大量垃圾的情况下也能够高速识别处理。 第一语音识别处理单元生成识别假设图,该识别假设图表示根据第一语法导出的假设的结构以及与基于第一语法的语音识别处理相关联的与识别单元的各个连接相关联的得分 声音特征量的输入声音,并且第二语音识别处理单元根据指定为接受一个声音特征量的第二语法执行语音识别处理之后从根据第二语法导出的假设的总分输出识别结果 输入语音中的关键字以外的区段作为输入语音的语音特征量的垃圾部分,第二语音识别处理单元从识别假设图获取垃圾部分的结构和得分。
    • 3. 发明申请
    • LANGUAGE MODEL SCORE LOOK-AHEAD VALUE IMPARTING DEVICE, LANGUAGE MODEL SCORE LOOK-AHEAD VALUE IMPARTING METHOD, AND PROGRAM STORAGE MEDIUM
    • 语言型号分数看法 - 前端值转换设备,语言模型等级前景值转换方法和程序存储介质
    • US20110191100A1
    • 2011-08-04
    • US12992760
    • 2009-03-27
    • Koji OkabeRyosuke IsotaniKiyoshi YamabanaKen Hanazawa
    • Koji OkabeRyosuke IsotaniKiyoshi YamabanaKen Hanazawa
    • G06F17/21
    • G10L15/187
    • A speech recognition apparatus that performs frame synchronous beam search by using a language model score look-ahead value prevents the pruning of a correct answer hypothesis while suppressing an increase in the number of hypotheses. A language model score look-ahead value imparting device 108 is provided with a word dictionary 203 that defines a phoneme string of a word, a language model 202 that imparts a score of appearance easiness of a word, and a smoothing language model score look-ahead value calculation means 201. The smoothing language model score look-ahead value calculation means 201 obtains a language model score look-ahead value at each phoneme in the word from the phoneme string of the word defined by the word dictionary 203 and the language model score defined by the language model 202 so that the language model score look-ahead values are prevented from concentrating on the beginning of the word.
    • 通过使用语言模型评分预测值执行帧同步波束搜索的语音识别装置防止修正正确的答案假设,同时抑制假设数量的增加。 语言模型得分预先值赋予装置108具有定义单词的音素串的单词字典203,赋予单词外观容易度的语言模型202以及平滑语言模型分数查找表, 平滑语言模型分数预测值计算装置201从单词字典203定义的单词的音素串和语言模型中获得单词中每个音素处的语言模型分数预先值 由语言模型202定义的分数,使得语言模型得分先验值被阻止集中在单词的开头。
    • 6. 发明申请
    • VOICE RECOGNITION SYSTEM, VOICE RECOGNITION METHOD, AND PROGRAM FOR VOICE RECOGNITION
    • 语音识别系统,语音识别方法和语音识别程序
    • US20110131043A1
    • 2011-06-02
    • US12808393
    • 2008-12-22
    • Fumihiro AdachiRyosuke IsotaniKen Hanazawa
    • Fumihiro AdachiRyosuke IsotaniKen Hanazawa
    • G10L15/00
    • G10L15/08
    • The present invention enables the recognition process at high speed even when a lot of garbage is included in the grammar. The first voice recognition processing unit generates a recognition hypothesis graph which indicates a structure of hypothesis that is derived according to a first grammar together with a score associated with respective connections of a recognition unit by executing a voice recognition process based on the first grammar to a voice feature amount of input voice, and the second voice recognition processing unit outputs the recognition result from a total score of a hypothesis which is derived according to a second grammar after executing a voice recognition process according to the second grammar that is specified to accept a section other than keywords in input voice as the garbage section to a voice feature amount of input voice, and the second voice recognition processing unit acquires the structure and the score of the garbage section from the recognition hypothesis graph.
    • 本发明即使在语法中包含大量垃圾的情况下也能够高速识别处理。 第一语音识别处理单元生成识别假设图,该识别假设图表示根据第一语法导出的假设的结构以及与基于第一语法的语音识别处理相关联的与识别单元的各个连接相关联的得分 声音特征量的输入声音,并且第二语音识别处理单元根据指定为接受一个声音特征量的第二语法执行语音识别处理之后从根据第二语法导出的假设的总分输出识别结果 输入语音中的关键字以外的区段作为输入语音的语音特征量的垃圾部分,第二语音识别处理单元从识别假设图获取垃圾部分的结构和得分。
    • 7. 发明授权
    • Language model score look-ahead value imparting device, language model score look-ahead value imparting method, and program storage medium
    • 语言模型评分预测值赋予装置,语言模型评分预先值赋予方法和程序存储介质
    • US08682668B2
    • 2014-03-25
    • US12992760
    • 2009-03-27
    • Koji OkabeRyosuke IsotaniKiyoshi YamabanaKen Hanazawa
    • Koji OkabeRyosuke IsotaniKiyoshi YamabanaKen Hanazawa
    • G10L15/02G10L15/04G10L15/06
    • G10L15/187
    • A speech recognition apparatus that performs frame synchronous beam search by using a language model score look-ahead value prevents the pruning of a correct answer hypothesis while suppressing an increase in the number of hypotheses. A language model score look-ahead value imparting device 108 is provided with a word dictionary 203 that defines a phoneme string of a word, a language model 202 that imparts a score of appearance easiness of a word, and a smoothing language model score look-ahead value calculation means 201. The smoothing language model score look-ahead value calculation means 201 obtains a language model score look-ahead value at each phoneme in the word from the phoneme string of the word defined by the word dictionary 203 and the language model score defined by the language model 202 so that the language model score look-ahead values are prevented from concentrating on the beginning of the word.
    • 通过使用语言模型评分预测值执行帧同步波束搜索的语音识别装置防止修正正确的答案假设,同时抑制假设数量的增加。 语言模型得分预先值赋予装置108具有定义单词的音素串的单词字典203,赋予单词外观容易度的语言模型202以及平滑语言模型分数查找表, 平滑语言模型分数预测值计算装置201从单词字典203定义的单词的音素串和语言模型中获得单词中每个音素处的语言模型分数预先值 由语言模型202定义的分数,使得语言模型得分先验值被阻止集中在单词的开头。