Method and system for editing phrases during continuous speech recognition
    2.
    发明授权
    Method and system for editing phrases during continuous speech recognition 失效
    连续语音识别过程中用于编辑集的方法和系统

    公开(公告)号:EP0840288B1

    公开(公告)日:2003-09-24

    申请号:EP97118374.4

    申请日:1997-10-22

    CPC classification number: G06F3/16 G10L15/22 G10L2015/0631 G10L2015/221

    Abstract: A method and system for editing words that have been misrecognized. The system allows a speaker to specify a number of alternative words to be displayed in a correction window by resizing the correction window. The system also displays the words in the correction window in alphabetical order. A preferred system eliminates the possibility, when a misrecognized word is respoken, that the respoken utterance will be again recognized as the same misrecognized word. The system, when operating with a word processor, allows the speaker to specify the amount of speech that is buffered before transferring to the word processor.

    Speech recognition method based on word duration modelling
    3.
    发明公开
    Speech recognition method based on word duration modelling 有权
    由字持续时间的建模装置的语音识别的方法

    公开(公告)号:EP1610301A3

    公开(公告)日:2006-03-15

    申请号:EP05077070.0

    申请日:1998-09-16

    CPC classification number: G10L15/08 G10L15/05

    Abstract: A method of recognizing speech, comprising:

    receiving input data indicative of the speech to be recognized;
    detecting pauses in the speech, based on the input data, to identify a phrase duration;
    generating a plurality of phrase hypotheses representative of likely word phrases represented by the input data between the pauses detected;
    comparing a word duration associated with each word in each phrase hypothesis, based on a number of words in the phrase hypothesis and based on the phrase duration, with an expected word duration for a phrase having a number of words equal to the number of words in the phrase hypothesis; and
    assigning a score to each phrase hypothesis based on the comparison of the word duration with the expected word duration to obtain a most likely phrase hypothesis represented by the input data.

    Method and system for editing phrases during continuous speech recognition
    4.
    发明公开
    Method and system for editing phrases during continuous speech recognition 失效
    连续语音识别过程中用于编辑集的方法和系统

    公开(公告)号:EP0840288A3

    公开(公告)日:1999-04-28

    申请号:EP97118374.4

    申请日:1997-10-22

    CPC classification number: G06F3/16 G10L15/22 G10L2015/0631 G10L2015/221

    Abstract: A method and system for editing words that have been misrecognized. The system allows a speaker to specify a number of alternative words to be displayed in a correction window by resizing the correction window. The system also displays the words in the correction window in alphabetical order. A preferred system eliminates the possibility, when a misrecognized word is respoken, that the respoken utterance will be again recognized as the same misrecognized word. The system, when operating with a word processor, allows the speaker to specify the amount of speech that is buffered before transferring to the word processor.

    Speech recognition method based on word duration modelling
    6.
    发明公开
    Speech recognition method based on word duration modelling 有权
    Verfahren zur Spracherkennung mittels Modellierung der Wortdauer

    公开(公告)号:EP1610301A2

    公开(公告)日:2005-12-28

    申请号:EP05077070.0

    申请日:1998-09-16

    CPC classification number: G10L15/08 G10L15/05

    Abstract: A method of recognizing speech, comprising:

    receiving input data indicative of the speech to be recognized;
    detecting pauses in the speech, based on the input data, to identify a phrase duration;
    generating a plurality of phrase hypotheses representative of likely word phrases represented by the input data between the pauses detected;
    comparing a word duration associated with each word in each phrase hypothesis, based on a number of words in the phrase hypothesis and based on the phrase duration, with an expected word duration for a phrase having a number of words equal to the number of words in the phrase hypothesis; and
    assigning a score to each phrase hypothesis based on the comparison of the word duration with the expected word duration to obtain a most likely phrase hypothesis represented by the input data.

    Abstract translation: 一种识别语音的方法,包括:接收表示将被识别的语音的输入数据; 基于输入数据检测语音中的暂停,以识别短语持续时间; 产生表示由所检测的暂停之间的输入数据表示的可能词语短语的多个短语假设; 基于短语假设中的单词的数量和短语持续时间来比较与每个单词假设中的每个单词相关联的单词持续时间,其中短语的期望单词持续时间具有等于词数 短语假设; 并且基于词语持续时间与预期词语持续时间的比较来为每个短语假设分配得分以获得由输入数据表示的最可能的短语假设。

    Method and system for encoding pronunciation prefix trees
    7.
    发明公开
    Method and system for encoding pronunciation prefix trees 失效
    用于编码Aussprachevorimpulsverzweigungen方法和装置

    公开(公告)号:EP0817169A3

    公开(公告)日:1998-09-23

    申请号:EP97109014.7

    申请日:1997-06-04

    CPC classification number: G06F17/2765 G06F17/2715 G10L15/187

    Abstract: A computer system for linearly encoding a pronunciation prefix tree. The pronunciation prefix tree has nodes such that each non-root and non-leaf node represents a phoneme and wherein each leaf node represents a word formed by the phonemes represented by the non-leaf nodes in a path from the root node to the leaf node. Each leaf node has a probability associated with the word of the leaf node. The computer system creates a tree node dictionary containing an indication of the phonemes that compose each word. The computer system then orders the child nodes of each non-leaf node based on the highest probability of descendent leaf nodes of the child node. Then, for each non-leaf node, the computer system sets the probability of the non-leaf node to a probability based on the probability of its child nodes, and for each node, sets a factor of the node to the probability of the node divided by the probability of the parent node of the node. Finally, the computer system generates an encoded pronunciation entry for each leaf node of the pronunciation prefix tree. Each encoded pronunciation entry indicates the word represented by the leaf node and contains the factor of a nearest ancestor node with a factor other than 1.0.

    Method and system for editing phrases during continuous speech recognition
    8.
    发明公开
    Method and system for editing phrases during continuous speech recognition 失效
    连续语音识别过程中用于编辑集的方法和系统

    公开(公告)号:EP0840288A2

    公开(公告)日:1998-05-06

    申请号:EP97118374.4

    申请日:1997-10-22

    CPC classification number: G06F3/16 G10L15/22 G10L2015/0631 G10L2015/221

    Abstract: A method and system for editing words that have been misrecognized. The system allows a speaker to specify a number of alternative words to be displayed in a correction window by resizing the correction window. The system also displays the words in the correction window in alphabetical order. A preferred system eliminates the possibility, when a misrecognized word is respoken, that the respoken utterance will be again recognized as the same misrecognized word. The system, when operating with a word processor, allows the speaker to specify the amount of speech that is buffered before transferring to the word processor.

    Abstract translation: 一种用于编辑单词的方法和系统thathave被错误识别。 该系统允许发言者通过调整纠正窗口指定要显示在纠正窗口的若干替换单词。 因此,该系统显示以字母顺序在纠正窗口的话。 一种优选的系统消除了可能,当一个错误识别的单词被重新说出的,DASS死重新说出的发音被再识别为同一个错误识别的单词。 该系统中,当用字处理器中操作,允许指定语音的数量的扬声器也被传递环到字处理器之前被缓存。

    Method and system for encoding pronunciation prefix trees
    9.
    发明公开
    Method and system for encoding pronunciation prefix trees 失效
    用于编码发音前缀树的方法和系统

    公开(公告)号:EP0817169A2

    公开(公告)日:1998-01-07

    申请号:EP97109014.7

    申请日:1997-06-04

    CPC classification number: G06F17/2765 G06F17/2715 G10L15/187

    Abstract: A computer system for linearly encoding a pronunciation prefix tree. The pronunciation prefix tree has nodes such that each non-root and non-leaf node represents a phoneme and wherein each leaf node represents a word formed by the phonemes represented by the non-leaf nodes in a path from the root node to the leaf node. Each leaf node has a probability associated with the word of the leaf node. The computer system creates a tree node dictionary containing an indication of the phonemes that compose each word. The computer system then orders the child nodes of each non-leaf node based on the highest probability of descendent leaf nodes of the child node. Then, for each non-leaf node, the computer system sets the probability of the non-leaf node to a probability based on the probability of its child nodes, and for each node, sets a factor of the node to the probability of the node divided by the probability of the parent node of the node. Finally, the computer system generates an encoded pronunciation entry for each leaf node of the pronunciation prefix tree. Each encoded pronunciation entry indicates the word represented by the leaf node and contains the factor of a nearest ancestor node with a factor other than 1.0.

    Abstract translation: 一种用于对发音前缀树进行线性编码的计算机系统。 发音前缀树具有节点,使得每个非根节点和非叶节点表示音素,并且其中每个叶节点表示由从根节点到叶节点的路径中的非叶节点表示的音素形成的词 。 每个叶节点具有与叶节点的单词相关的概率。 计算机系统创建包含组成每个词的音素指示的树节点词典。 计算机系统然后基于子节点的后代叶节点的最高概率来命令每个非叶节点的子节点。 然后,对于每个非叶节点,计算机系统基于其子节点的概率将非叶节点的概率设置为概率,并且对于每个节点,将节点的因子设置为节点的概率 除以节点的父节点的概率。 最后,计算机系统为发音前缀树的每个叶节点生成编码的发音条目。 每个编码的发音条目指示由叶节点表示的词并且包含具有非1.0的因子的最近的祖先节点的因子。

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