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公开(公告)号：US07464031B2
公开(公告)日：2008-12-09
申请号：US10724536
申请日：2003-11-28
申请人： Scott E. Axelrod , Sreeram Viswanath Balakrishnan , Stanley F. Chen , Yuging Gao , Ramesh A. Gopinath , Hong-Kwang Kuo , Benoit Maison , David Nahamoo , Michael Alan Picheny , George A. Saon , Geoffrey G. Zweig
发明人： Scott E. Axelrod , Sreeram Viswanath Balakrishnan , Stanley F. Chen , Yuging Gao , Ramesh A. Gopinath , Hong-Kwang Kuo , Benoit Maison , David Nahamoo , Michael Alan Picheny , George A. Saon , Geoffrey G. Zweig
CPC分类号： G10L15/063 , G10L15/02 , G10L15/14 , G10L2015/085
摘要： In a speech recognition system, the combination of a log-linear model with a multitude of speech features is provided to recognize unknown speech utterances. The speech recognition system models the posterior probability of linguistic units relevant to speech recognition using a log-linear model. The posterior model captures the probability of the linguistic unit given the observed speech features and the parameters of the posterior model. The posterior model may be determined using the probability of the word sequence hypotheses given a multitude of speech features. Log-linear models are used with features derived from sparse or incomplete data. The speech features that are utilized may include asynchronous, overlapping, and statistically non-independent speech features. Not all features used in training need to appear in testing/recognition.
摘要翻译： 在语音识别系统中，提供了具有多个语音特征的对数线性模型的组合来识别未知语音语音。 语音识别系统使用对数线性模型对与语音识别相关的语言单位的后验概率进行建模。 后验模型捕获了语言单位给出观察到的语音特征和后验模型参数的概率。 可以使用给定多个语音特征的单词序列假设的概率来确定后验模型。 对数线性模型与来自稀疏或不完整数据的特征一起使用。 所使用的语音特征可以包括异步，重叠和统计上非独立的语音特征。 培训中使用的并非所有功能都需要出现在测试/识别中。
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公开(公告)号：US20080243507A1
公开(公告)日：2008-10-02
申请号：US12135397
申请日：2008-06-09
申请人： Ramesh A. Gopinath , Benoit Maison , Brian C. Wu
发明人： Ramesh A. Gopinath , Benoit Maison , Brian C. Wu
IPC分类号： G10L15/18
CPC分类号： G10L15/22 , G10L2015/225
摘要： A user interface, and associated techniques, that permit a fast and efficient way of correcting speech recognition errors, or of diminishing their impact. The user may correct mistakes in a natural way, essentially by repeating the information that was incorrectly recognized previously. Such a mechanism closely approximates what human-to-human dialogue would be in similar circumstances. Such a system fully takes advantage of all the information provided by the user, and on its own estimates the quality of the recognition in order to determine the correct sequence of words in the fewest number of steps.
摘要翻译： 用户界面和相关技术，可以快速有效地纠正语音识别错误或减少其影响。 用户可以以自然的方式纠正错误，主要是通过重复先前未正确识别的信息。 这种机制与近似于类似情况下的人与人之间的对话密切相关。 这样的系统充分利用用户提供的所有信息，并且自己估计识别的质量，以便以最少的步数确定正确的单词序列。
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公开(公告)号：US07386454B2
公开(公告)日：2008-06-10
申请号：US10210704
申请日：2002-07-31
申请人： Ramesh A. Gopinath , Benoit Maison , Brian C. Wu
发明人： Ramesh A. Gopinath , Benoit Maison , Brian C. Wu
CPC分类号： G10L15/22 , G10L2015/225
摘要： A user interface, and associated techniques, that permit a fast and efficient way of correcting speech recognition errors, or of diminishing their impact. The user may correct mistakes in a natural way, essentially by repeating the information that was incorrectly recognized previously. Such a mechanism closely approximates what human-to-human dialogue would be in similar circumstances. Such a system fully takes advantage of all the information provided by the user, and on its own estimates the quality of the recognition in order to determine the correct sequence of words in the fewest number of steps.
摘要翻译： 用户界面和相关技术，可以快速有效地纠正语音识别错误或减少其影响。 用户可以以自然的方式纠正错误，主要是通过重复先前未正确识别的信息。 这种机制与近似于类似情况下的人与人之间的对话密切相关。 这样的系统充分利用用户提供的所有信息，并且自己估计识别的质量，以便以最少的步数确定正确的单词序列。
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公开(公告)号：US07702512B2
公开(公告)日：2010-04-20
申请号：US12135397
申请日：2008-06-09
申请人： Ramesh A. Gopinath , Benoit Maison , Brian C. Wu
发明人： Ramesh A. Gopinath , Benoit Maison , Brian C. Wu
CPC分类号： G10L15/22 , G10L2015/225
摘要： A user interface, and associated techniques, that permit a fast and efficient way of correcting speech recognition errors, or of diminishing their impact. The user may correct mistakes in a natural way, essentially by repeating the information that was incorrectly recognized previously. Such a mechanism closely approximates what human-to-human dialogue would be in similar circumstances. Such a system fully takes advantage of all the information provided by the user, and on its own estimates the quality of the recognition in order to determine the correct sequence of words in the fewest number of steps.
摘要翻译： 用户界面和相关技术，可以快速有效地纠正语音识别错误或减少其影响。 用户可以以自然的方式纠正错误，主要是通过重复先前未正确识别的信息。 这种机制与近似于类似情况下的人与人之间的对话密切相关。 这样的系统充分利用用户提供的所有信息，并且自己估计识别的质量，以便以最少的步数确定正确的单词序列。
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公开(公告)号：US08355920B2
公开(公告)日：2013-01-15
申请号：US12135452
申请日：2008-06-09
申请人： Ramesh A. Gopinath , Benoit Maison , Brian C. Wu
发明人： Ramesh A. Gopinath , Benoit Maison , Brian C. Wu
CPC分类号： G10L15/22 , G10L2015/225
摘要： A user interface, and associated techniques, that permit a fast and efficient way of correcting speech recognition errors, or of diminishing their impact. The user may correct mistakes in a natural way, essentially by repeating the information that was incorrectly recognized previously. Such a mechanism closely approximates what human-to-human dialogue would be in similar circumstances. Such a system fully takes advantage of all the information provided by the user, and on its own estimates the quality of the recognition in order to determine the correct sequence of words in the fewest number of steps.
摘要翻译： 用户界面和相关技术，可以快速有效地纠正语音识别错误或减少其影响。 用户可以以自然的方式纠正错误，主要是通过重复先前未正确识别的信息。 这种机制与近似于类似情况下的人与人之间的对话密切相关。 这样的系统充分利用用户提供的所有信息，并且自己估计识别的质量，以便以最少的步数确定正确的单词序列。
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公开(公告)号：US20080243514A1
公开(公告)日：2008-10-02
申请号：US12135452
申请日：2008-06-09
申请人： Ramesh A. Gopinath , Benoit Maison , Brian C. Wu
发明人： Ramesh A. Gopinath , Benoit Maison , Brian C. Wu
IPC分类号： G10L21/00
CPC分类号： G10L15/22 , G10L2015/225
摘要： A user interface, and associated techniques, that permit a fast and efficient way of correcting speech recognition errors, or of diminishing their impact. The user may correct mistakes in a natural way, essentially by repeating the information that was incorrectly recognized previously. Such a mechanism closely approximates what human-to-human dialogue would be in similar circumstances. Such a system fully takes advantage of all the information provided by the user, and on its own estimates the quality of the recognition in order to determine the correct sequence of words in the fewest number of steps.
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公开(公告)号：US09754586B2
公开(公告)日：2017-09-05
申请号：US12133762
申请日：2008-06-05
IPC分类号： G10L15/19 , G10L15/06 , G10L15/183
CPC分类号： G10L15/19 , G10L15/063 , G10L15/183 , G10L2015/0631
摘要： The present invention concerns methods and apparatus for identifying and assigning meaning to words not recognized by a vocabulary or grammar of a speech recognition system. In an embodiment of the invention, the word may be in an acoustic vocabulary of the speech recognition system, but may be unrecognized by an embedded grammar of a language model of the speech recognition system. In another embodiment of the invention, the word may not be recognized by any vocabulary associated with the speech recognition system. In embodiments of the invention, at least one hypothesis is generated for an utterance not recognized by the speech recognition system. If the at least one hypothesis meets at least one predetermined criterion, a sword or more corresponding to the at least one hypothesis is added to the vocabulary of the speech recognition system. In other embodiments of the invention, before adding the word to the vocabulary of the speech recognition system, the at least one hypothesis may be presented to the user of the speech recognition system to determine if that is what the used intended when the user spoke.
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8.发明申请Methods and Apparatus for Use in Speech Recognition Systems for Identifying Unknown Words and for Adding Previously Unknown Words to Vocabularies and Grammars of Speech Recognition Systems 有权用于识别未知词语的语音识别系统中使用的方法和装置，以及将以前未知的词添加到语音识别系统的语义和语法公开(公告)号：US20080270136A1
公开(公告)日：2008-10-30
申请号：US12133762
申请日：2008-06-05
IPC分类号： G10L15/18
CPC分类号： G10L15/19 , G10L15/063 , G10L15/183 , G10L2015/0631
摘要： The present invention concerns methods and apparatus for identifying and assigning meaning to words not recognized by a vocabulary or grammar of a speech recognition system. In an embodiment of the invention, the word may be in an acoustic vocabulary of the speech recognition system, but may be unrecognized by an embedded grammar of a language model of the speech recognition system. In another embodiment of the invention, the word may not be recognized by any vocabulary associated with the speech recognition system. In embodiments of the invention, at least one hypothesis is generated for an utterance not recognized by the speech recognition system. If the at least one hypothesis meets at least one predetermined criterion, a sword or more corresponding to the at least one hypothesis is added to the vocabulary of the speech recognition system. In other embodiments of the invention, before adding the word to the vocabulary of the speech recognition system, the at least one hypothesis may be presented to the user of the speech recognition system to determine if that is what the used intended when the user spoke.
摘要翻译： 本发明涉及用于识别和分配对语音识别系统的词汇或语法不被识别的词语的含义的方法和装置。 在本发明的一个实施例中，该词可以在语音识别系统的声学词汇中，但是可能由语音识别系统的语言模型的嵌入语法无法识别。 在本发明的另一个实施例中，该词可能不被与语音识别系统相关联的任何词汇识别。 在本发明的实施例中，为语音识别系统未识别的话语生成至少一个假设。 如果所述至少一个假设满足至少一个预定标准，则将与所述至少一个假设相对应的剑或更多的剑添加到所述语音识别系统的词汇表。 在本发明的其他实施例中，在将单词添加到语音识别系统的词汇表之前，可以将该至少一个假设呈现给语音识别系统的用户，以确定当用户说话时所使用的意图是什么。
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公开(公告)号：US5081645A
公开(公告)日：1992-01-14
申请号：US563275
申请日：1990-08-06
CPC分类号： H04J13/10 , H04B1/707 , H04L27/0004 , H04J2013/0037
摘要： A system comprising apparatuses and methods for encoding and decoding spread spectrum signals is disclosed. Signals are encoded by modulating numerical sequences selected from an orthonormal basis of numerical sequences to provide channel coding. The modulated sequences are then combined to form an encoded signal. Because of the orthonormal character of the sequences, the encoded signal may be easily decoded using a matched filter. A method for generating long sequences from the product of shorter sequences is also disclosed.
摘要翻译： 公开了一种包括用于编码和解码扩频信号的装置和方法的系统。 信号通过调制从数字序列的正交基础中选择的数字序列来编码，以提供信道编码。 然后将调制的序列组合以形成编码信号。 由于序列的正交字符，可以使用匹配滤波器容易地解码编码信号。 还公开了从较短序列的产物产生长序列的方法。
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公开(公告)号：US08041561B2
公开(公告)日：2011-10-18
申请号：US11930822
申请日：2007-10-31
申请人： Sabine Deligne , Ramesh A. Gopinath
发明人： Sabine Deligne , Ramesh A. Gopinath
IPC分类号： G10L19/14
CPC分类号： G10L15/20 , G10L25/24 , G10L2021/02163
摘要： Methods and apparatus, in the context of speech recognition, for compensating in the cepstral domain for the effect of an interfering signal by using a reference signal.
摘要翻译： 在语音识别的上下文中的方法和装置，用于通过使用参考信号在干扰信号的影响下在倒频域中进行补偿。
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