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1. 发明授权

US06499012B1 Method and apparatus for hierarchical training of speech models for use in speaker verification 有权
标题翻译：用于说话者验证中使用的语音模型的分级训练的方法和装置
公开(公告)号：US06499012B1
公开(公告)日：2002-12-24
申请号：US09470995
申请日：1999-12-23
申请人： Stephen Douglas Peters , Matthieu Hebert , Daniel Boies
发明人： Stephen Douglas Peters , Matthieu Hebert , Daniel Boies
IPC分类号： G10L1514
CPC分类号： G10L17/04
摘要： A method and apparatus for generating a pair of data elements is provided suitable for use in a speaker verification system. The pair includes a first element representative of a speaker independent template and a second element representative of an extended speaker specific speech pattern. An audio signal forming enrollment data associated with a given speaker is received and processed to derive a speaker independent template and a speaker specific speech pattern. The speaker specific speech pattern is then processed to derive an extended speaker specific speech pattern. The extended speaker specific speech pattern includes a set of expanded speech models, each expanded speech model including a plurality of groups of states, the groups of states being linked to one another by inter-group transitions. Optionally, the expanded speech models are processed on the basis of the enrollment data to condition at least one of the plurality of inter-group transitions.
摘要翻译：提供一种用于产生一对数据元素的方法和装置，其适用于扬声器验证系统。该对包括表示扬声器独立模板的第一元件和表示扩展扬声器特定语音模式的第二元件。接收并处理与给定扬声器相关联的形成注册数据的音频信号，以导出与讲者无关的模板和说话者特定的语音模式。然后处理扬声器特定语音模式以导出扩展的说话者特定语音模式。扩展扬声器特定语音模式包括一组扩展语音模型，每个扩展语音模型包括多个状态组，所述状态组通过组间转换彼此链接。可选地，扩展语音模型基于登记数据进行处理，以便条件中的至少一个组间转换。

2. 发明授权

US06502070B1 Method and apparatus for normalizing channel specific speech feature elements 有权
标题翻译：用于规范信道特定语音特征元素的方法和装置
公开(公告)号：US06502070B1
公开(公告)日：2002-12-31
申请号：US09559459
申请日：2000-04-28
申请人： Daniel Boies , Benoit Dumoulin , Stephen Douglas Peters
发明人： Daniel Boies , Benoit Dumoulin , Stephen Douglas Peters
IPC分类号： G10L1914
CPC分类号： G10L15/065
摘要： An apparatus for normalizing speech feature elements in a signal derived from a spoken utterance. The apparatus includes an input, a processing unit and an output. The input receives speech feature elements transmitted over a channel that induces a channel specific distortion in the speech feature elements. The processing unit is coupled to the input and is operative for altering the speech feature elements to generate normalized speech feature elements. The normalized speech feature elements simulate a transmission of the speech feature elements over a reference channel that is other than the channel over which the transmission actually takes place. The apparatus can be used as a speech recognition pre-processing unit to reduce channel related variability in the signal on which speech recognition is to be performed.
摘要翻译：一种用于对从讲话语音导出的信号中的语音特征元素进行归一化的装置。该装置包括输入，处理单元和输出。该输入接收通过信道发送的语音特征元素，其在语音特征元素中引起信道特定失真。处理单元耦合到输入端并且可操作用于改变语音特征元素以产生归一化的语音特征元素。归一化语音特征元素模拟语音特征元素在不同于实际发生传输的信道的参考信道上的传输。该装置可以用作语音识别预处理单元，以减少要进行语音识别的信号中的信道相关变化。

3. 发明授权

US6134524A Method and apparatus to detect and delimit foreground speech 失效
标题翻译：检测和界定前景语音的方法和装置
公开(公告)号：US6134524A
公开(公告)日：2000-10-17
申请号：US950417
申请日：1997-10-24
申请人： Stephen Douglas Peters , Daniel Boies
发明人： Stephen Douglas Peters , Daniel Boies
IPC分类号： G10L11/02 , G10L15/20
CPC分类号： G10L25/87
摘要： The present invention provides improved foreground-speech signal endpointing by computing a spectral stationarity statistic. This statistic is used by a finite state machine to endpoint speech. Endpointing using the spectral stationarity statistic is less susceptible to background noise than endpointing using conventional measures. The present invention uses frame-synchronous quantile estimation to generate a mask signal for signal to Noise Ratio Normalization.
摘要翻译：本发明通过计算光谱平稳度统计量来提供改进的前景语音信号终点。该统计量由有限状态机用于终点语音。使用频谱平稳性统计的终点不利于背景噪声，而不是使用常规测量的终点。本发明使用帧同步分位数估计来产生用于信噪比归一化的掩码信号。

4. 发明授权

US06868381B1 Method and apparatus providing hypothesis driven speech modelling for use in speech recognition 失效
标题翻译：提供用于语音识别的假设驱动语音建模的方法和装置
公开(公告)号：US06868381B1
公开(公告)日：2005-03-15
申请号：US09468138
申请日：1999-12-21
申请人： Stephen Douglas Peters , Daniel Boies , Benoit Dumoulin
发明人： Stephen Douglas Peters , Daniel Boies , Benoit Dumoulin
IPC分类号： G10L15/00 , G10L15/06 , G10L15/08 , G10L15/20
CPC分类号： G10L15/065 , G10L15/20 , G10L2015/0635
摘要： A speech recognition system having an input for receiving an input signal indicative of a spoken utterance that is indicative of at least one speech element. The system further includes a first processing unit operative for processing the input signal to derive from a speech recognition dictionary a speech model associated to a given speech element that constitutes a potential match to the at least one speech element. The system further comprised a second processing unit for generating a modified version of the speech model on the basis of the input signal. The system further provides a third processing unit for processing the input signal on the basis of the modified version of the speech model to generate a recognition result indicative of whether the modified version of the at least one speech model constitutes a match to the input signal. The second processing unit allows the speech model to be modified on the basis of the recognition attempt thereby allowing speech recognition to be effected on the basis of the modified speech model. This permits adaptation of the speech models during the recognition process. The invention further provides an apparatus, method and computer readable medium for implementing the second processing unit.
摘要翻译：一种语音识别系统，具有用于接收表示至少一个语音元素的表示话语的输入信号的输入。该系统还包括第一处理单元，其操作用于处理输入信号以从语音识别词典中导出与构成与至少一个语音元素的潜在匹配的给定语音元素相关联的语音模型。该系统还包括第二处理单元，用于基于输入信号产生语音模型的修改版本。该系统还提供一个第三处理单元，用于基于该语音模型的修改版本来处理该输入信号，以产生一个表示该至少一个语音模型的修改版本是否构成对该输入信号的匹配的识别结果。第二处理单元允许基于识别尝试来修改语音模型，从而允许基于修改的语音模型来实现语音识别。这允许在识别过程中对语音模型进行适应。本发明还提供了一种用于实现第二处理单元的装置，方法和计算机可读介质。

5. 发明申请

US20080154819A1 Social knowledge system content quality 有权
标题翻译：社会知识体系内容质量
公开(公告)号：US20080154819A1
公开(公告)日：2008-06-26
申请号：US11583464
申请日：2006-10-18
申请人： Daniel Boies , Benoit Dumoulin , Remi Kwan
发明人： Daniel Boies , Benoit Dumoulin , Remi Kwan
IPC分类号： G06F15/18
CPC分类号： G06N5/022
摘要： Techniques for automatically scoring submissions to an online question-and-answer submission system are disclosed. According to one such technique, an initial set of user submissions are scored by human operators and/or automated algorithmic mechanisms. The submissions and their accompanying scores are provided as training data to an automated machine learning mechanism. The machine learning mechanism processes the training data and automatically detects patterns in the provided submissions. The machine learning mechanism automatically correlates these patterns with the scores assigned to the submissions that match those patterns. As a result, the machine learning mechanism is trained. Thereafter, the machine learning mechanism processes unscored submissions. The machine learning mechanism automatically identifies, from among the patterns that the machine learning mechanism has already detected, one or more patterns that these submissions match. The machine learning mechanism automatically scores these submissions based on the matching patterns and the scores that are associated with those patterns.
摘要翻译：公开了自动评分提交给在线问答提交系统的技术。根据一种这样的技术，人类操作者和/或自动算法机制对初始的用户提交集进行评分。提交的材料及其附带的分数作为培训数据提供给自动化机器学习机制。机器学习机制处理训练数据并自动检测提供的提交中的模式。机器学习机制自动将这些模式与分配给与这些模式匹配的提交的分数相关联。因此，机器学习机制得到了培训。此后，机器学习机制处理未评分的提交。机器学习机制自动识别机器学习机制已经检测到的模式之一，这些提交匹配的一个或多个模式。机器学习机制根据与这些模式相关联的匹配模式和分数自动对这些提交进行评分。

6. 发明授权

US07571145B2 Social knowledge system content quality 有权
标题翻译：社会知识体系内容质量
公开(公告)号：US07571145B2
公开(公告)日：2009-08-04
申请号：US11583464
申请日：2006-10-18
申请人： Daniel Boies , Benoit Dumoulin , Remi Kwan
发明人： Daniel Boies , Benoit Dumoulin , Remi Kwan
IPC分类号： G06F15/18
CPC分类号： G06N5/022
摘要： Techniques for automatically scoring submissions to an online question-and-answer submission system are disclosed. According to one such technique, an initial set of user submissions are scored by human operators and/or automated algorithmic mechanisms. The submissions and their accompanying scores are provided as training data to an automated machine learning mechanism. The machine learning mechanism processes the training data and automatically detects patterns in the provided submissions. The machine learning mechanism automatically correlates these patterns with the scores assigned to the submissions that match those patterns. As a result, the machine learning mechanism is trained. Thereafter, the machine learning mechanism processes unscored submissions. The machine learning mechanism automatically identifies, from among the patterns that the machine learning mechanism has already detected, one or more patterns that these submissions match. The machine learning mechanism automatically scores these submissions based on the matching patterns and the scores that are associated with those patterns.
摘要翻译：公开了自动评分提交给在线问答提交系统的技术。根据一种这样的技术，人类操作者和/或自动算法机制对初始的用户提交集进行评分。提交的材料及其附带的分数作为培训数据提供给自动化机器学习机制。机器学习机制处理训练数据并自动检测提供的提交中的模式。机器学习机制自动将这些模式与分配给与这些模式匹配的提交的分数相关联。因此，机器学习机制得到了培训。此后，机器学习机制处理未评分的提交。机器学习机制自动识别机器学习机制已经检测到的模式之一，这些提交匹配的一个或多个模式。机器学习机制根据与这些模式相关联的匹配模式和分数自动对这些提交进行评分。

7. 发明申请

US20090276381A1 SOCIAL KNOWLEDGE SYSTEM CONTENT QUALITY 有权
标题翻译：社会知识体系内容质量
公开(公告)号：US20090276381A1
公开(公告)日：2009-11-05
申请号：US12491133
申请日：2009-06-24
申请人： Daniel Boies , Benoit Dumoulin , Remi Kwan
发明人： Daniel Boies , Benoit Dumoulin , Remi Kwan
IPC分类号： G06F15/18 , G06N5/02
CPC分类号： G06N5/022
摘要： Techniques for automatically scoring submissions to an online question-and-answer submission system are disclosed. According to one such technique, an initial set of user submissions are scored by human operators and/or automated algorithmic mechanisms. The submissions and their accompanying scores are provided as training data to an automated machine learning mechanism. The machine learning mechanism processes the training data and automatically detects patterns in the provided submissions. The machine learning mechanism automatically correlates these patterns with the scores assigned to the submissions that match those patterns. As a result, the machine learning mechanism is trained. Thereafter, the machine learning mechanism processes unscored submissions. The machine learning mechanism automatically identifies, from among the patterns that the machine learning mechanism has already detected, one or more patterns that these submissions match. The machine learning mechanism automatically scores these submissions based on the matching patterns and the scores that are associated with those patterns.
摘要翻译：公开了自动评分提交给在线问答提交系统的技术。根据一种这样的技术，人类操作者和/或自动算法机制对初始的用户提交集进行评分。提交的材料及其附带的分数作为培训数据提供给自动化机器学习机制。机器学习机制处理训练数据并自动检测提供的提交中的模式。机器学习机制自动将这些模式与分配给与这些模式匹配的提交的分数相关联。因此，机器学习机制得到了培训。此后，机器学习机制处理未评分的提交。机器学习机制自动识别机器学习机制已经检测到的模式之一，这些提交匹配的一个或多个模式。机器学习机制根据与这些模式相关联的匹配模式和分数自动对这些提交进行评分。

8. 发明授权

US09098494B2 Building multi-language processes from existing single-language processes 有权
标题翻译：从现有的单一语言流程构建多语言流程
公开(公告)号：US09098494B2
公开(公告)日：2015-08-04
申请号：US13469078
申请日：2012-05-10
申请人： Ruhi Sarikaya , Daniel Boies , Fethiye Asli Celikyilmaz , Anoop K. Deoras , Dustin Rigg Hillard , Dilek Z. Hakkani-Tur , Gokhan Tur , Fileno A. Alleva
发明人： Ruhi Sarikaya , Daniel Boies , Fethiye Asli Celikyilmaz , Anoop K. Deoras , Dustin Rigg Hillard , Dilek Z. Hakkani-Tur , Gokhan Tur , Fileno A. Alleva
IPC分类号： G06F17/28 , G06F17/27 , G10L15/00 , G10L17/00
CPC分类号： G06F17/289
摘要： Processes capable of accepting linguistic input in one or more languages are generated by re-using existing linguistic components associated with a different anchor language, together with machine translation components that translate between the anchor language and the one or more languages. Linguistic input is directed to machine translation components that translate such input from its language into the anchor language. Those existing linguistic components are then utilized to initiate responsive processing and generate output. Optionally, the output is directed through the machine translation components. A language identifier can initially receive linguistic input and identify the language within which such linguistic input is provided to select an appropriate machine translation component. A hybrid process, comprising machine translation components and linguistic components associated with the anchor language, can also serve as an initiating construct from which a single language process is created over time.
摘要翻译：能够以一种或多种语言接受语言输入的过程通过重新使用与不同锚语言相关联的现有语言组件以及在锚语言和一种或多种语言之间进行翻译的机器翻译组件而产生。语言输入针对机器翻译组件，将这种输入从其语言转换为锚语言。然后利用那些现有的语言分量来启动响应处理并产生输出。可选地，输出被引导通过机器翻译组件。语言标识符可以最初接收语言输入并且识别提供这种语言输入以选择适当的机器翻译组件的语言。包括与锚语言相关联的机器翻译组件和语言组件的混合过程也可以用作随时间创建单个语言过程的起始构造。

9. 发明申请

US20130304451A1 BUILDING MULTI-LANGUAGE PROCESSES FROM EXISTING SINGLE-LANGUAGE PROCESSES 有权
标题翻译：从现有的单一语言过程建立多语言过程
公开(公告)号：US20130304451A1
公开(公告)日：2013-11-14
申请号：US13469078
申请日：2012-05-10
申请人： Ruhi Sarikaya , Daniel Boies , Fethiye Asli Celikyilmaz , Anoop K. Deoras , Dustin Rigg Hillard , Dilek Z. Hakkani-Tur , Gokhan Tur , Fileno A. Alleva
发明人： Ruhi Sarikaya , Daniel Boies , Fethiye Asli Celikyilmaz , Anoop K. Deoras , Dustin Rigg Hillard , Dilek Z. Hakkani-Tur , Gokhan Tur , Fileno A. Alleva
IPC分类号： G06F17/28 , G10L15/26
CPC分类号： G06F17/289
摘要： Processes capable of accepting linguistic input in one or more languages are generated by re-using existing linguistic components associated with a different anchor language, together with machine translation components that translate between the anchor language and the one or more languages. Linguistic input is directed to machine translation components that translate such input from its language into the anchor language. Those existing linguistic components are then utilized to initiate responsive processing and generate output. Optionally, the output is directed through the machine translation components. A language identifier can initially receive linguistic input and identify the language within which such linguistic input is provided to select an appropriate machine translation component. A hybrid process, comprising machine translation components and linguistic components associated with the anchor language, can also serve as an initiating construct from which a single language process is created over time.
摘要翻译：能够以一种或多种语言接受语言输入的过程通过重新使用与不同锚语言相关联的现有语言组件以及在锚语言和一种或多种语言之间进行翻译的机器翻译组件而产生。语言输入针对机器翻译组件，将这种输入从其语言转换为锚语言。然后利用那些现有的语言分量来启动响应处理并产生输出。可选地，输出被引导通过机器翻译组件。语言标识符可以最初接收语言输入并且识别提供这种语言输入以选择适当的机器翻译组件的语言。包括与锚语言相关联的机器翻译组件和语言组件的混合过程也可以用作随时间创建单个语言过程的起始构造。

10. 发明授权

US07865452B2 Social knowledge system content quality 有权
标题翻译：社会知识体系内容质量
公开(公告)号：US07865452B2
公开(公告)日：2011-01-04
申请号：US12491133
申请日：2009-06-24
申请人： Daniel Boies , Benoit Dumoulin , Remi Kwan
发明人： Daniel Boies , Benoit Dumoulin , Remi Kwan
IPC分类号： G06F15/18
CPC分类号： G06N5/022
摘要： Techniques for automatically scoring submissions to an online question-and-answer submission system are disclosed. According to one such technique, an initial set of user submissions are scored by human operators and/or automated algorithmic mechanisms. The submissions and their accompanying scores are provided as training data to an automated machine learning mechanism. The machine learning mechanism processes the training data and automatically detects patterns in the provided submissions. The machine learning mechanism automatically correlates these patterns with the scores assigned to the submissions that match those patterns. As a result, the machine learning mechanism is trained. Thereafter, the machine learning mechanism processes unscored submissions. The machine learning mechanism automatically identifies, from among the patterns that the machine learning mechanism has already detected, one or more patterns that these submissions match. The machine learning mechanism automatically scores these submissions based on the matching patterns and the scores that are associated with those patterns.
摘要翻译：公开了自动评分提交给在线问答提交系统的技术。根据一种这样的技术，人类操作者和/或自动算法机制对初始的用户提交集进行评分。提交的材料及其附带的分数作为培训数据提供给自动化机器学习机制。机器学习机制处理训练数据并自动检测提供的提交中的模式。机器学习机制自动将这些模式与分配给与这些模式匹配的提交的分数相关联。因此，机器学习机制得到了培训。此后，机器学习机制处理未评分的提交。机器学习机制自动识别机器学习机制已经检测到的模式之一，这些提交匹配的一个或多个模式。机器学习机制根据与这些模式相关联的匹配模式和分数自动对这些提交进行评分。

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