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1. 发明申请

US20110161072A1 LANGUAGE MODEL CREATION APPARATUS, LANGUAGE MODEL CREATION METHOD, SPEECH RECOGNITION APPARATUS, SPEECH RECOGNITION METHOD, AND RECORDING MEDIUM 审中-公开
标题翻译：语言模型创作装置，语言模式创作方法，语音识别装置，语音识别方法和记录媒体
公开(公告)号：US20110161072A1
公开(公告)日：2011-06-30
申请号：US13059942
申请日：2009-08-20
申请人： Makoto Terao , Kiyokazu Miki , Hitoshi Yamamoto
发明人： Makoto Terao , Kiyokazu Miki , Hitoshi Yamamoto
IPC分类号： G06F17/27 , G10L15/06
CPC分类号： G06F17/28 , G06F17/2818 , G10L15/183 , G10L15/197
摘要： A frequency counting unit (15A) counts occurrence frequencies (14B) in input text data (14A) for respective words or word chains contained in the input text data (14A). A context diversity calculation unit (15B) calculates, for the respective words or word chains, diversity indices (14C) each indicating the context diversity of a word or word chain. A frequency correction unit (15C) corrects the occurrence frequencies (14B) of the respective words or word chains based on the diversity indices (14C) of the respective words or word chains. An N-gram language model creation unit (15D) creates an N-gram language model (14E) based on the corrected occurrence frequencies (14D) obtained for the respective words or word chains.
摘要翻译：频率计数单元（15A）对包含在输入文本数据（14A）中的各个单词或字链的输入文本数据（14A）中的发生频率（14B）进行计数。上下文分集计算单元（15B）针对各个单词或单词链计算各自指示单词或单词链的上下文分集的分集索引（14C）。频率校正单元（15C）基于各个单词或单词链的分集索引（14C）来校正各个单词或单词链的出现频率（14B）。 N-gram语言模型创建单元（15D）基于针对各个单词或单词链获得的校正出现频率（14D）创建N-gram语言模型（14E）。

2. 发明授权

US09043209B2 Language model creation device 有权
标题翻译：语言模型创建设备
公开(公告)号：US09043209B2
公开(公告)日：2015-05-26
申请号：US13129721
申请日：2009-09-03
申请人： Hitoshi Yamamoto , Ken Hanazawa , Kiyokazu Miki
发明人： Hitoshi Yamamoto , Ken Hanazawa , Kiyokazu Miki
IPC分类号： G10L15/14 , G10L15/00 , G10L15/18 , G10L15/197 , G10L15/183 , G10L15/19
CPC分类号： G10L15/197 , G10L15/1815 , G10L15/183 , G10L15/19
摘要： 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.
摘要翻译：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，所述概率参数表示识别对应于语音的字序列的语音识别处理，所述第二概率参数表示所述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。

3. 发明申请

US20090204390A1 SPEECH PROCESSING APPARATUS AND PROGRAM, AND SPEECH PROCESSING METHOD 有权
标题翻译：语音处理设备和程序，语音处理方法
公开(公告)号：US20090204390A1
公开(公告)日：2009-08-13
申请号：US12306632
申请日：2007-06-18
申请人： Hitoshi Yamamoto , Kiyokazu Miki
发明人： Hitoshi Yamamoto , Kiyokazu Miki
IPC分类号： G06F17/20 , G10L15/04
CPC分类号： G10L15/065 , G10L15/183
摘要： A speech processing apparatus 101 includes a recognition feature extracting unit 12 that extracts recognition feature information which is a characteristic of a speech recognition result 15 obtained by performing a speech recognition process on an inputted speech from the speech recognition result 15; a language feature extracting unit 11 that extracts language feature information which is a characteristic of a pre-registered language resource 14 from the language resource 14; and a model learning unit 13 that obtains a verification model 16 by a learning process based on the extracted recognition feature information and language feature information.
摘要翻译：语音处理装置101包括识别特征提取单元12，其从语音识别结果15提取作为通过对输入的语音执行语音识别处理而获得的语音识别结果15的特征的识别特征信息; 语言特征提取单元11，从语言资源14提取作为预注册语言资源14的特征的语言特征信息; 以及模型学习单元13，其通过基于提取的识别特征信息和语言特征信息的学习处理获得验证模型16。

4. 发明授权

US08583436B2 Word category estimation apparatus, word category estimation method, speech recognition apparatus, speech recognition method, program, and recording medium 有权
标题翻译：词类估计装置，词类估计方法，语音识别装置，语音识别方法，程序和记录介质
公开(公告)号：US08583436B2
公开(公告)日：2013-11-12
申请号：US12809199
申请日：2008-12-19
申请人： Hitoshi Yamamoto , Kiyokazu Miki
发明人： Hitoshi Yamamoto , Kiyokazu Miki
IPC分类号： G06F17/27 , G10L15/00 , G10L15/04 , G10L15/18 , H04M1/64
CPC分类号： G10L15/1815
摘要： A word category estimation apparatus (100) includes a word category model (5) which is formed from a probability model having a plurality of kinds of information about a word category as features, and includes information about an entire word category graph as at least one of the features. A word category estimation unit (4) receives the word category graph of a speech recognition hypothesis to be processed, computes scores by referring to the word category model for respective arcs that form the word category graph, and outputs a word category sequence candidate based on the scores.
摘要翻译：词类别估计装置（100）包括由具有关于词类别的多种信息作为特征的概率模型形成的单词类别模型（5），并且包括关于整个单词分类图的信息作为至少一个的功能。词类估计单元（4）接收要处理的语音识别假设的单词分类图，通过参考形成单词分类图的各弧的单词分类模型来计算分数，并输出基于得分。

5. 发明授权

US08751226B2 Learning a verification model for speech recognition based on extracted recognition and language feature information 有权
标题翻译：基于提取的识别和语言特征信息学习语音识别验证模型
公开(公告)号：US08751226B2
公开(公告)日：2014-06-10
申请号：US12306632
申请日：2007-06-18
申请人： Hitoshi Yamamoto , Kiyokazu Miki
发明人： Hitoshi Yamamoto , Kiyokazu Miki
IPC分类号： G10L15/00 , G10L15/06
CPC分类号： G10L15/065 , G10L15/183
摘要： A speech processing apparatus 101 includes a recognition feature extracting unit 12 that extracts recognition feature information which is a characteristic of a speech recognition result 15 obtained by performing a speech recognition process on an inputted speech from the speech recognition result 15; a language feature extracting unit 11 that extracts language feature information which is a characteristic of a pre-registered language resource 14 from the language resource 14; and a model learning unit 13 that obtains a verification model 16 by a learning process based on the extracted recognition feature information and language feature information.
摘要翻译：语音处理装置101包括识别特征提取单元12，其从语音识别结果15提取作为通过对输入的语音执行语音识别处理而获得的语音识别结果15的特征的识别特征信息; 语言特征提取单元11，从语言资源14提取作为预注册语言资源14的特征的语言特征信息; 以及模型学习单元13，其通过基于提取的识别特征信息和语言特征信息的学习处理获得验证模型16。

6. 发明申请

US20110231183A1 LANGUAGE MODEL CREATION DEVICE 有权
标题翻译：语言创作设备
公开(公告)号：US20110231183A1
公开(公告)日：2011-09-22
申请号：US13129721
申请日：2009-09-03
申请人： Hitoshi Yamamoto , Ken Hanazawa , Kiyokazu Miki
发明人： Hitoshi Yamamoto , Ken Hanazawa , Kiyokazu Miki
IPC分类号： G06F17/27
CPC分类号： G10L15/197 , G10L15/1815 , G10L15/183 , G10L15/19
摘要： 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.
摘要翻译：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。

7. 发明申请

US20110077943A1 System for generating language model, method of generating language model, and program for language model generation 审中-公开
标题翻译：语言模型生成系统，语言模型生成方法，语言模型生成程序
公开(公告)号：US20110077943A1
公开(公告)日：2011-03-31
申请号：US12308400
申请日：2007-06-18
申请人： Kiyokazu Miki , Kentaro Nagatomo
发明人： Kiyokazu Miki , Kentaro Nagatomo
IPC分类号： G10L15/00
CPC分类号： G10L15/183
摘要： A first system for generating a language model is a system for generating a language model including: a topic history dependent language model storing unit; a topic history accumulation unit; and a language score calculation unit. In the system for generating the language model, a language score corresponding to history of topics is calculated by the language score calculation unit using history of topics in an utterance accumulated in the topic history accumulation unit and a language model stored in the topic history dependent language model storing unit. The topic history dependent language model storing unit may store a topic history dependent language model dependent on only most recent n topics. The topic history accumulation unit may accumulate only most recent n topics.
摘要翻译：用于生成语言模型的第一系统是用于生成语言模型的系统，包括：主题历史依赖语言模型存储单元; 主题历史积累单位; 和语言得分计算单元。在用于生成语言模型的系统中，通过语言得分计算单元使用在主题历史累积单元中累积的话语中的主题历史和存储在主题历史依赖语言中的语言模型来计算与主题历史相对应的语言得分模型存储单元。主题历史依赖语言模型存储单元可以存储取决于仅最近的n个主题的主题历史依赖语言模型。主题历史记录单元可能仅累积最近的n个主题。

8. 发明申请

US20090006092A1 Speech Recognition Language Model Making System, Method, and Program, and Speech Recognition System 审中-公开
标题翻译：语音识别语言模型制作系统，方法和程序，语音识别系统
公开(公告)号：US20090006092A1
公开(公告)日：2009-01-01
申请号：US12087869
申请日：2006-12-26
申请人： Kiyokazu Miki , Kentarou Nagamoto
发明人： Kiyokazu Miki , Kentarou Nagamoto
IPC分类号： G10L15/06
CPC分类号： G10L15/197 , G10L15/183
摘要： [PROBLEMS] To provide a speech recognition language model making system for making a speech recognition language model so as to recognize a meaningful speech necessary for application of speech recognition, such as a speech in conversation at a call center.[MEANS FOR SOLVING PROBLEMS] A speech recognition language model making system (1) comprises a probability estimating device (11), a language model learning corpus storage device (14), and a learning corpus emphasizing device (12). The learning corpus emphasizing device (12) emphasizes a prescribed part of the learning corpus to create an emphasized learning corpus. The probability estimating device (11) operates to make a speech recognition language model by estimating the probability value of a language model by the emphasized learning corpus.
摘要翻译：提供一种用于制作语音识别语言模型的语音识别语言模型制作系统，以便识别应用语音识别所必需的有意义的语音，例如在呼叫中心的对话中的语音。解决问题的手段语音识别语言模型制作系统（1）包括概率估计装置（11），语言模型学习语料库存储装置（14）和学习语料库强调装置（12）。学习语料库强调设备（12）强调学习语料库的规定部分，以创建强调的学习语料库。概率估计装置（11）通过利用强调学习语料库估计语言模型的概率值来进行语音识别语言模型的操作。

9. 发明申请

US20140074475A1 SPEECH RECOGNITION RESULT SHAPING APPARATUS, SPEECH RECOGNITION RESULT SHAPING METHOD, AND NON-TRANSITORY STORAGE MEDIUM STORING PROGRAM 审中-公开
标题翻译：语音识别结果形状设备，语音识别结果形成方法和非终端存储媒体存储程序
公开(公告)号：US20140074475A1
公开(公告)日：2014-03-13
申请号：US14008752
申请日：2011-11-29
申请人： Tasuku Kitade , Kiyokazu Miki
发明人： Tasuku Kitade , Kiyokazu Miki
IPC分类号： G10L15/01
CPC分类号： G10L15/01 , G10L15/183
摘要： There is provided a speech recognition result forming apparatus (10) including a recognition result output unit (106) that refers to character string data, which is a speech recognition result, and removes a word string of a recognition error included in the character string data from the character string data and also, when attached word strings are located before and/or after the word string of the recognition error, generates preformatted character string data by removing at least one of the attached word strings from the character string data or replacing at least one of the attached word strings with other data items and outputs the preformatted character string data.
摘要翻译：提供了一种语音识别结果形成装置（10），其包括参考作为语音识别结果的字符串数据的识别结果输出单元（106），并且去除包括在字符串数据中的识别错误的字串从字符串数据，并且当附加的字串位于识别错误的字串之前和/或之后时，通过从字符串数据中移除附加的字串中的至少一个或从字符串数据中的替换来生成预格式化的字符串数据至少一个附加的字串与其他数据项，并输出预格式化的字符串数据。

10. 发明授权

US09075774B2 Perplexity calculation device 有权
标题翻译：困惑计算装置
公开(公告)号：US09075774B2
公开(公告)日：2015-07-07
申请号：US13698543
申请日：2011-04-20
申请人： Masahiro Saikou , Kiyokazu Miki
发明人： Masahiro Saikou , Kiyokazu Miki
IPC分类号： G06F17/27 , G06F17/21
CPC分类号： G06F17/21 , G06F17/277
摘要： A perplexity calculation device 500 includes: a weight coefficient calculating part 501 for, with respect to each of a plurality of text constituent words constituting a text, calculating a weight coefficient for correcting a degree of ease of word appearance having a value which becomes larger as a probability of appearance of the text constituent word becomes higher based on a statistical language model showing probabilities of appearance of words, based on word importance representing a degree of importance of the text constituent word; and a perplexity calculating part 502 for calculating perplexity of the statistical language model to the text, based on the calculated weight coefficients and the degrees of ease of word appearance.
摘要翻译：困惑性计算装置500包括：权重系数计算部501，对于构成文本的多个文本构成词中的每一个，计算用于校正具有变大的值的词出现的容易程度的权重系数基于表示文本构成词的重要程度的单词重要性，基于显示单词出现概率的统计语言模型，文本构成词出现的可能性变得更高; 以及基于所计算的权重系数和单词外观的容易程度，计算统计语言模型对文本的困惑度的困惑度计算部分502。

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