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    • 14. 发明授权
    • Method and apparatus for speech recognition using both low-order and
high-order parameter analyzation
    • 使用低阶和高阶参数分析的语音识别方法和装置
    • US5295190A
    • 1994-03-15
    • US755840
    • 1991-09-06
    • Yasuki YamashitaYoichi Takebayashi
    • Yasuki YamashitaYoichi Takebayashi
    • G10L15/02G10L25/87G10L5/06
    • G10L25/87G10L15/02
    • A speech recognition apparatus includes a a low-order parameter analyzation section for deriving low-order parameter time series of an input speech, a start and end point detection section for detecting the start and end points of the input speech by use of the parameter time series derived by the low-order parameter analyzation section, a high-order parameter analyzation section for deriving high order parameters at preset sampling points from the input speech of a range corresponding to the start and end points detected by the start and end point detection section, a pattern matching section for matching feature parameters corresponding to the parameters derived by the high-order parameter analyzation section with standard parameters previously registered and deriving similarities between the matched parameters, and a recognition result outputting section for outputting the recognition result for the input speech according to the similarities derived by the pattern matching section.
    • 语音识别装置包括:低阶参数分析部分,用于导出输入语音的低阶参数时间序列;起点和终点检测部分,用于通过使用参数时间序列检测输入语音的开始和结束点 由低阶参数分析部分导出的高阶参数分析部分,用于从与由起点和终点检测部分检测到的开始和结束点对应的范围的输入语音中的预设采样点导出高阶参数, 模式匹配部分,用于将对应于由高阶参数分析部分导出的参数的特征参数与先前注册的标准参数进行匹配并导出匹配参数之间的相似度;以及识别结果输出部分,用于输出用于输入语音的识别结果 与由模式匹配部分导出的相似性。
    • 17. 发明授权
    • Word spotting in a variable noise level environment
    • 在可变噪声水平环境中的字眼
    • US5794194A
    • 1998-08-11
    • US794770
    • 1997-02-03
    • Yoichi TakebayashiHiroyuki TsuboiHiroshi Kanazawa
    • Yoichi TakebayashiHiroyuki TsuboiHiroshi Kanazawa
    • G10L15/00G10L15/04G10L5/06G10L7/08
    • G10L15/05G10L2015/088
    • Low- and high-dimensional feature parameters are obtained by analyzing a speech pattern to be recognized. A word spotting section extracts a plurality of approximate word feature vector candidates representing word features from the low-dimensional feature parameter without fixing word boundaries. Start and end points are detected for each of the word feature vector candidates. Detail word feature vector candidates are extracted from the high-dimensional feature parameter in accordance with the detected start and end points. A recognition dictionary stores reference patterns with which the detail word feature vector candidates are matched. A pattern matching section calculates similarity values between each of the detail word feature vector candidates and the reference patterns stored in the recognition dictionary. A recognition result selects reference patterns stored in the recognition dictionary when its similarity value is greater than a prescribed threshold value.
    • 通过分析要识别的语音模式获得低维和高维特征参数。 单词识别部分从低维特征参数提取表示单词特征的多个近似字特征向量候选而不固定词边界。 对于每个单词特征向量候选来检测起点和终点。 根据检测到的起点和终点,从高维特征参数提取细节特征向量候选。 识别词典存储细节词特征向量候选与之匹配的参考模式。 模式匹配部分计算每个细节特征向量候选和存储在识别字典中的参考模式之间的相似度值。 当识别结果的相似度值大于规定的阈值时,识别结果选择存储在识别词典中的参考模式。
    • 19. 发明授权
    • Computer system for interactive help using human-understandable
knowledge and computer-understandable knowledge
    • 使用人类可理解知识和计算机可理解知识的交互式帮助的计算机系统
    • US6098061A
    • 2000-08-01
    • US816972
    • 1997-03-13
    • Kazuyuki GotohHideo NumagamiYoichi TakebayashiKouichi Sasaki
    • Kazuyuki GotohHideo NumagamiYoichi TakebayashiKouichi Sasaki
    • G06F17/30G06F9/44G06N5/02G06N5/04G06N5/00
    • G06N5/02
    • A computer-understandable knowledge base for accumulating computer-understandable task knowledge and a know-how knowledge base for accumulating know-how knowledge understandable for a human being are provided. In accordance with, for example, a result of the process for solving a problem which has been performed by the computer-understandable knowledge base 1, know-how knowledge relating to the problem solution is automatically retrieved and presented. Since know-how knowledge relating to the problem solution is automatically retrieved and presented in accordance with the state of the problem solving process which has been performed by the computer-understandable knowledge base, a user is able to efficiently make a reference to required know-how knowledge without a complicated process for conditions for retrieving the know-how knowledge. Even if a problem cannot be solved by the computer-understandable knowledge base, the know-how knowledge is used to guide the problem solution.
    • 提供了计算机可理解的知识库,用于积累计算机可理解的任务知识和专门知识库,用于积累人类可理解的知识知识。 根据例如解决由计算机可理解的知识库1执行的问题的处理的结果,自动检索和呈现与问题解决方案相关的知识知识。 由于根据计算机可理解的知识库执行的问题解决过程的状态自动检索和呈现与问题解决相关的知识知识,用户能够有效地参考所需的知识库, 知识如何没有复杂的过程,用于检索知识知识的条件。 即使计算机可理解的知识库无法解决问题,使用知识知识来指导问题解决方案。
    • 20. 发明授权
    • Speech recognition system having word-based and phoneme-based
recognition means
    • 语音识别系统具有基于字和音素的识别手段
    • US5315689A
    • 1994-05-24
    • US996859
    • 1992-12-21
    • Hiroshi KanazawaYoichi Takebayashi
    • Hiroshi KanazawaYoichi Takebayashi
    • G10L15/00G10L9/00
    • G10L15/00
    • A speech recognition system includes a parameter extracting section for extracting a speech parameter of input speech, a first recognizing section for performing recognition processing by word-based matching, and a second recognizing section for performing word recognition by matching in units of word constituent elements. The first word recognizing section segments the speech parameter in units of words to extract a word speech pattern and performs word recognition by matching the word speech pattern with a predetermined word reference pattern. The second word recognizing section performs recognition in units of word constituent elements by using the extracted speech parameter and performs word recognition on the basis of candidates of an obtained word constituent element series. The speech recognition system further includes a recognition result output section for obtaining a recognition result on the basis of the word recognition results obtained by the first and second recognizing sections and outputting the obtained recognition result. The speech recognition system further includes a word reference pattern learning section for performing learning of a word reference pattern on the basis of the recognition result obtained by the recognizing result output section and the word speech pattern.
    • 语音识别系统包括用于提取输入语音的语音参数的参数提取部分,用于通过基于字的匹配进行识别处理的第一识别部分和用于通过字组成元素单元进行匹配来执行字识别的第二识别部分。 第一字识别部分以单词为单位对语音参数进行分段以提取单词语音模式,并通过将单词语音模式与预定字参考模式进行匹配来执行字识别。 第二字识别部分通过使用所提取的语音参数来执行单词组成元素的识别,并且基于获得的单词构成要素序列的候选进行字识别。 语音识别系统还包括识别结果输出部分,用于基于由第一和第二识别部分获得的字识别结果获得识别结果,并输出所获得的识别结果。 该语音识别系统还包括一个字参考模式学习部分,用于根据由识别结果输出部分获得的识别结果和单词语音模式来执行一个单词参考模式的学习。