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    • 7. 发明申请
    • TEXT PROCESSING SYSTEM, TEXT PROCESSING METHOD, AND TEXT PROCESSING PROGRAM
    • 文本处理系统,文本处理方法和文本处理程序
    • US20130144609A1
    • 2013-06-06
    • US13814611
    • 2011-08-02
    • Seiya OsadaKen HanazawaTakayuki ArakawaKoji OkabeDaisuke Tanaka
    • Seiya OsadaKen HanazawaTakayuki ArakawaKoji OkabeDaisuke Tanaka
    • G06F17/21
    • G06F17/21G06F17/2229G06F17/2863G10L15/26
    • Provided is a text processing system capable of avoiding declining processing efficiency in analyses of text that does not contain breaks.This text processing system comprises: a linking means for generating linking data that links acquired text after the link object analysis result, which are the results of the analysis of text acquired prior to the acquired text; an analysis means for carrying out language analysis on the linked data, using at least a portion of the link object analysis result; and a determination means for determining a prescribed unit break included in the linked data, on the basis of the results of the analysis by the analysis means.The link object analysis results are the results of the analysis after the break that is determined by the determination means.The link object analysis results are the results of the analysis after the break that is determined by the determination means.
    • 提供了一种文本处理系统,其能够避免在不包含中断的文本的分析中降低处理效率。 该文本处理系统包括:链接装置,用于生成在链接对象分析结果之后链接获取的文本的链接数据,链接对象分析结果是在获取的文本之前获取的文本的分析结果; 分析装置,用于使用所述链接对象分析结果的至少一部分对所述链接数据进行语言分析; 以及确定装置,用于基于分析装置的分析结果来确定链接数据中包括的规定单位中断。 链接对象分析结果是由确定装置确定的中断之后的分析结果。 链接对象分析结果是由确定装置确定的中断之后的分析结果。
    • 8. 发明申请
    • LANGUAGE MODEL CREATION DEVICE
    • 语言创作设备
    • US20110231183A1
    • 2011-09-22
    • US13129721
    • 2009-09-03
    • Hitoshi YamamotoKen HanazawaKiyokazu Miki
    • Hitoshi YamamotoKen HanazawaKiyokazu Miki
    • G06F17/27
    • G10L15/197G10L15/1815G10L15/183G10L15/19
    • This device 301 stores a first content-specific language model representing a probability that a specific word appears in a word sequence representing a first content, and a second content-specific language model representing a probability that the specific word appears in a word sequence representing a second content. Based on a first probability parameter representing a probability that a content represented by a target word sequence included in a speech recognition hypothesis generated by a speech recognition process of recognizing a word sequence corresponding to a speech, a second probability parameter representing a probability that the content represented by the target word sequence is a second content, the first content-specific language model and the second content-specific language model, the device creates a language model representing a probability that the specific word appears in a word sequence corresponding to a part corresponding to the target word sequence of the speech.
    • 该设备301存储表示特定词出现在表示第一内容的单词序列中的概率的第一内容特定语言模型和表示特定单词出现在表示一个单词序列的单词序列中的概率的第二特定于内容的语言模型 第二个内容。 基于表示由语音识别处理生成的语音识别假设所包含的目标字序列表示的内容的概率的第一概率参数,该概率参数表示识别对应于语音的字序列的语音识别处理,第二概率参数表示内容 由目标词序列表示的是第二内容,第一内容特定语言模型和第二内容特定语言模型,该设备创建表示特定词出现在对应于对应部分的单词序列中的概率的语言模型 到目标词序列的演讲。
    • 9. 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。
    • 10. 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。