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    • 3. 发明申请
    • SPEECH UNDERSTANDING APPARATUS
    • 语音理解装置
    • US20100191530A1
    • 2010-07-29
    • US12691958
    • 2010-01-22
    • Mikio NAKANOMasaki KATSUMARUKotaro FUNAKOSHIHiroshi OKUNO
    • Mikio NAKANOMasaki KATSUMARUKotaro FUNAKOSHIHiroshi OKUNO
    • G10L15/18G10L15/06
    • G10L15/005G10L15/32
    • A speech understanding apparatus includes a speech recognition unit which performs speech recognition of an utterance using multiple language models, and outputs multiple speech recognition results obtained by the speech recognition, a language understanding unit which uses multiple language understanding models to perform language understanding for each of the multiple speech recognition results output from the speech recognition unit, and outputs multiple speech understanding results obtained from the language understanding, and an integrating unit which calculates, based on values representing features of the speech understanding results, utterance batch confidences that numerically express accuracy of the speech understanding results for each of the multiple speech understanding results output from the language understanding unit, and selects one of the speech understanding results with a highest utterance batch confidence among the calculated utterance batch confidences.
    • 语音理解装置包括:语音识别单元,其使用多种语言模型进行语音识别,并输出通过语音识别获得的多个语音识别结果;语言理解单元,其使用多种语言理解模型来执行语言理解 从语音识别单元输出的多个语音识别结果,并且输出从语言理解获得的多个语音理解结果,以及积分单元,其基于表示语音理解结果的特征的值来计算, 从语言理解单元输出的每个多语言理解结果的语音理解结果,并且在计算出的话语批处理之间选择语音理解结果之一,具有最高的话语批次置信度。
    • 4. 发明申请
    • QUESTION AND ANSWER DATABASE EXPANSION APPARATUS AND QUESTION AND ANSWER DATABASE EXPANSION METHOD
    • 问题和答案数据库扩展设备和问题和答案数据库扩展方法
    • US20110010177A1
    • 2011-01-13
    • US12832426
    • 2010-07-08
    • Mikio NAKANOKotaro FUNAKOSHIHiromi NARIMATSU
    • Mikio NAKANOKotaro FUNAKOSHIHiromi NARIMATSU
    • G10L15/18
    • G10L15/32G10L15/18G10L15/183
    • A question and answer database expansion apparatus includes: a question and answer database in which questions and answers corresponding to the questions are registered in association with each other, a first speech recognition unit which carries out speech recognition for an input sound signal by using a language model based on the question and answer database, and outputs a first speech recognition result as the recognition result, a second speech recognition unit which carries out speech recognition for the input sound signal by using a language model based on a large vocabulary database, and outputs a second speech recognition result as the recognition result, and a question detection unit which detects an unregistered utterance, which is not registered in the question and answer database, from the input sound based on the first speech recognition result and the second speech recognition result, and outputs the detected unregistered utterance.
    • 问题和答案数据库扩展装置包括:问题和答案数据库,其中与问题相对应的问题和答案彼此相关联;第一语音识别单元,通过使用语言对输入声音信号执行语音识别 模型,并且输出作为识别结果的第一语音识别结果,第二语音识别单元,通过使用基于大词汇数据库的语言模型对输入声音信号执行语音识别,并且输出 第二语音识别结果作为识别结果,以及问题检测单元,其基于第一语音识别结果和第二语音识别结果,从输入声音中检测未登记在问答数据库中的未登记话语, 并输出检测到的未注册的话语。
    • 5. 发明申请
    • LANGUAGE PROCESSOR
    • 语言处理器
    • US20130013290A1
    • 2013-01-10
    • US13531682
    • 2012-06-25
    • Kotaro FUNAKOSHIMikio NAKANOTakenobu TOKUNAGARyu IIDA
    • Kotaro FUNAKOSHIMikio NAKANOTakenobu TOKUNAGARyu IIDA
    • G06F17/27
    • G06F17/279G10L13/027G10L15/1822
    • A referring expression processor which uses a probabilistic model and in which referring expressions including descriptive, anaphoric and deictic expressions are understood and generated in the course of dialogue is provided. The referring expression processor according to the present invention includes: a referring expression processing section which performs at least one of understanding and generation of referring expressions using a probabilistic model constructed with a referring expression Bayesian network, each referring expression Bayesian network representing relationships between a reference domain (D) which is a set of possible referents, a referent (X) in the reference domain, a concept (C) concerning the referent and a word (W) which represents the concept; and a memory which stores data necessary for constructing the referring expression Bayesian network.
    • 提供了一种使用概率模型的引用表达式处理器,其中包括描述性,隐喻性和指示性表达的引用表达在对话过程中被理解和产生。 根据本发明的引用表达式处理器包括:引用表达式处理部分,其使用由参考表达式贝叶斯网络构建的概率模型来执行理解和生成引用表达中的至少一个,每个引用表达式贝叶斯网络表示参考 (D),参考域中的指示(X),涉及对象的概念(C)和表示概念的词(W); 以及存储器,其存储构造参考表达式贝叶斯网络所需的数据。
    • 7. 发明申请
    • LANGUAGE PROCESSOR
    • 语言处理器
    • US20100241421A1
    • 2010-09-23
    • US12723956
    • 2010-03-15
    • Kotaro FUNAKOSHI
    • Kotaro FUNAKOSHI
    • G10L19/00
    • G10L15/1815
    • A language processor according to the present invention includes a probability calculating section (103) having a probabilistic model by which a probability that a set of partial referring expression pairs represents an object, each pair consisting of an attribute value expression and a part expression modified by the attribute value expression, the set of referring expression pairs including a pair concerning the whole object, is represented by a product of probabilities each of which is a probability that each partial referring expression pair represents the object. The probability that each partial referring expression pair represents the object is obtained using a probability that the object is chosen, a probability that represents the salience of a part of the object, and a probability representing relevance between the part of the object and an attribute value, a probability that the part expression is used for a part of the object, and a probability that the attribute value expression is used for an attribute value. It further includes at least one memory section (101) for storing values of probabilities used for the probabilistic model. The probability calculating section calculates the probability that the set of partial referring expression pairs represents the object using the values of probabilities stored in the at least one memory section and the probabilistic model.
    • 根据本发明的语言处理器包括概率计算部分(103),其具有概率模型,通过该概率模型,部分参考表达式对的集合表示对象的概率,每对由属性值表达式和由 属性值表达式,包括关于整个对象的对的引用表达式对的集合由概率的乘积表示,每个概率是每个部分引用表达式对表示对象的概率。 每个部分引用表达式对表示对象的概率是使用选择对象的概率获得的,表示对象的一部分的显着性的概率,以及表示对象的一部分与属性值之间的相关性的概率 ,部分表达式用于对象的一部分的概率以及属性值表达式用于属性值的概率。 它还包括用于存储用于概率模型的概率值的至少一个存储器部分(101)。 概率计算部分使用存储在至少一个存储器部分中的概率值和概率模型来计算部分参考表达式对的集合表示对象的概率。