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1. 发明申请

US20140316538A1 ASSISTANCE SYSTEM 审中-公开
标题翻译：辅助系统
公开(公告)号：US20140316538A1
公开(公告)日：2014-10-23
申请号：US14233399
申请日：2012-07-19
申请人： Juergen Rataj , Friedrich Faubel , Hartmut Helmke , Dietrich Klakow
发明人： Juergen Rataj , Friedrich Faubel , Hartmut Helmke , Dietrich Klakow
IPC分类号： G05B15/02
CPC分类号： G05B15/02 , G08G5/0013 , G08G5/0026 , G08G5/0043 , G08G5/0082 , G10L15/183 , G10L15/22 , G10L2015/228
摘要： The invention relates to an assistance system (1, 25) for providing support in situation-dependent planning and/or guidance tasks of a controlled system (2), comprising a state detection unit (3) for detecting at least one state (5, 5a) of the controlled system (2), an acoustic receiving unit (9, 27), which is designed to receive acoustic voice signals of voice communication (24) between at least two persons (21, 22), and a voice processing unit (7), which is designed to detect voice information (10) regarding the controlled system (2) from the received acoustic voice signals, wherein the state detection unit (3) is designed to adapt the detected state (5) and/or a predicted state (5a) of the controlled system (2) that can be derived from the current state, according to the detected voice information (10).
摘要翻译：本发明涉及一种用于在受控系统（2）的情况相关的规划和/或指导任务中提供支持的辅助系统（1,25），包括状态检测单元（3），用于检测至少一个状态（5，控制系统（2）的图5a），声学接收单元（9,27），其被设计为在至少两个人（21,22）之间接收语音通信（24）的声音语音信号，并且语音处理单元（7），其被设计成从接收到的声音信号中检测关于受控系统（2）的语音信息（10），其中状态检测单元（3）被设计成使检测到的状态（5）和/或根据检测到的语音信息（10），可以从当前状态导出受控系统（2）的预测状态（5a）。

2. 发明授权

US06823307B1 Language model based on the speech recognition history 失效
标题翻译：基于语音识别历史的语言模型
公开(公告)号：US06823307B1
公开(公告)日：2004-11-23
申请号：US09622317
申请日：2000-08-14
申请人： Volker Steinbiss , Dietrich Klakow
发明人： Volker Steinbiss , Dietrich Klakow
IPC分类号： G10L1504
CPC分类号： G10L15/197 , G10L15/1815
摘要： A small vocabulary pattern recognition system is used for recognizing a sequence of words, such as a sequence of digits (e.g. telephone number) or a sequence of commands. A representation of reference words is stored in a vocabulary 132, 134. Input means 110 are used for receiving a time-sequential input pattern representative of a spoken or written word sequence. A pattern recognizer 120 comprises a word-level matching unit 130 for generating a plurality of possible sequences of words by statistically comparing the input pattern to the representations of the reference words of the vocabulary 132, 134. A cache 150 is used for storing a plurality of most recently recognized words. A sequence-level matching unit 140 selects a word sequence from the plurality of sequences of words in dependence on a statistical language model which provides a probability of a sequence of M words, M≧2. The probability depends on a frequency of occurrence of the sequence in the cache. In this way for many small vocabulary systems where no reliable data is available on frequency of use of word sequences, the cache is used to provide data representative of the actual use.
摘要翻译：小词汇模式识别系统用于识别字序列，例如数字序列（例如电话号码）或命令序列。参考词的表示被存储在词汇132,134中。输入装置110用于接收表示口语或书写词序列的时间顺序输入模式。模式识别器120包括字级匹配单元130，用于通过将输入模式与词汇132,134的参考词的表示进行统计学比较来产生多个可能的单词序列。高速缓存150用于存储多个最近公认的词。序列级匹配单元140根据提供M个词序列M> = 2的概率的统计语言模型从多个单词序列中选择一个单词序列。概率取决于高速缓存中序列的出现频率。以这种方式，对于许多使用字序列的频率上没有可靠数据的小词汇系统，缓存用于提供代表实际使用的数据。

3. 发明申请

US20120095751A1 TEXT SEGMENTATION AND LABEL ASSIGNMENT WITH USER INTERACTION BY MEANS OF TOPIC SPECIFIC LANGUAGE MODELS AND TOPIC-SPECIFIC LABEL STATISTICS 有权
标题翻译：用主题特定语言模型和主题特定标签统计的用户交互的文本分段和标签分配
公开(公告)号：US20120095751A1
公开(公告)日：2012-04-19
申请号：US13210214
申请日：2011-08-15
申请人： Jochen PETERS , Evgeny MATUSOV , Carsten MEYER , Dietrich KLAKOW
发明人： Jochen PETERS , Evgeny MATUSOV , Carsten MEYER , Dietrich KLAKOW
IPC分类号： G06F17/27
CPC分类号： G06F17/21 , G06F17/27 , G06F17/2765
摘要： The invention relates to a method, a computer program product, a segmentation system and a user interface for structuring an unstructured text by making use of statistical models trained on annotated training data. The method performs text segmentation into text sections and assigns labels to text sections as section headings. The performed segmentation and assignment is provided to a user for general review. Additionally, alternative segmentations and label assignments are provided to the user being capable to select alternative segmentations and alternative labels as well as to enter a user defined segmentation and user defined label. In response to the modifications introduced by the user, a plurality of different actions are initiated incorporating the re-segmentation and re-labeling of successive parts of the document or the entire document.
摘要翻译：本发明涉及通过利用在注释训练数据上训练的统计模型来构造非结构化文本的方法，计算机程序产品，分割系统和用户界面。该方法执行文本分段到文本部分，并将标签分配给文本部分作为标题。执行的分割和分配被提供给用户进行一般审查。此外，替代分割和标签分配被提供给能够选择替代分割和替代标签以及输入用户定义的分割和用户定义标签的用户。响应于用户引入的修改，启动了多个不同的动作，其中包括文档或整个文档的连续部分的重新分割和重新标记。

4. 发明申请

US20070140654A1 Recording content on a record medium that contains a desired content descriptor 审中-公开
标题翻译：在包含所需内容描述符的记录介质上记录内容
公开(公告)号：US20070140654A1
公开(公告)日：2007-06-21
申请号：US10576165
申请日：2004-10-21
申请人： Eric Thelen , Dietrich Klakow , Cor Luijks , Jan Nesvadba
发明人： Eric Thelen , Dietrich Klakow , Cor Luijks , Jan Nesvadba
IPC分类号： H04N7/00
CPC分类号： H04N21/4334 , G11B27/19 , H04N5/782 , H04N7/17318 , H04N21/44008 , H04N21/4622 , H04N21/4782 , H04N21/482 , H04N21/8405
摘要： The invention relates to a method for recording content on a record medium (2) that contains a desired content descriptor (3), comprising the steps of reading said desired content descriptor (3) from said record medium (2), scanning the content (10, 12) of at least one multimedia source (6, 7) for desired content that matches said desired content descriptor (3), and recording said desired content on said record medium (3). Said record medium (2) is preferably a Digital Versatile Disc (DVD), said desired content descriptor (3) is preferably a keyword contained in a blank of said DVD, and said at least one multimedia source (6, 7) is preferably a television receiver. The DVD with the keyword contained therein thus triggers the recording of content from the television receiver that matches said keyword on said DVD. The invention further relates to a computer program product, a device and a record medium.
摘要翻译：本发明涉及一种用于在包含所需内容描述符（3）的记录介质（2）上记录内容的方法，包括从所述记录介质（2）读取所述期望内容描述符（3），扫描内容（用于与所述期望内容描述符（3）匹配的期望内容的至少一个多媒体源（6,7）的10,10（12），以及在所述记录介质（3）上记录所述期望内容。所述记录介质（2）优选地是数字通用盘（DVD），所述所需内容描述符（3）优选地是包含在所述DVD的空白中的关键字，并且所述至少一个多媒体源（6,7）优选地是电视接收机。因此，包含在其中的关键字的DVD触发从电视接收机记录与所述DVD上的所述关键词相匹配的内容。本发明还涉及计算机程序产品，设备和记录介质。

5. 发明申请

US20060167685A1 Method and device for the rapid, pattern-recognition-supported transcription of spoken and written utterances 审中-公开
标题翻译：用于快速，模式识别支持的口头和书面话语转录的方法和设备
公开(公告)号：US20060167685A1
公开(公告)日：2006-07-27
申请号：US10503420
申请日：2003-01-30
申请人： Eric Thelen , Dietrich Klakow , Holger Scholl , Ulrich Waibel , Josef Reisinger
发明人： Eric Thelen , Dietrich Klakow , Holger Scholl , Ulrich Waibel , Josef Reisinger
IPC分类号： G10L15/26
CPC分类号： G10L15/24 , G06K9/222
摘要： The invention relates to a method and a device for the transcription of spoken and written utterances. To this end, the utterances undergo speech or text recognition, and the recognition result (ME) is combined with a manually created transcription (MT) of the utterances in order to obtain the transcription. The additional information rendered usable by the combination as a result of the recognition result (ME) enables the transcriber to work relatively roughly and therefore quickly on the manual transcription. When using a keyboard (25), he can, for example, restrict himself to hitting the keys of only one row and/or can omit some keystrokes completely. In addition, the manual transcribing can also be accelerated by the suggestion of continuations (31) to the text input so far (30), which continuations are anticipated by virtue of the recognition result (ME).
摘要翻译：本发明涉及一种用于转录口头和书面话语的方法和装置。为此，话语进行语音或文本识别，并将识别结果（ME）与手语创建的语音转录（MT）相结合，以获得转录。作为识别结果（ME）的结果，由组合使用的附加信息使得抄录员能够相对粗略地工作并因此快速地进行手动转录。当使用键盘（25）时，他可以例如限制自己敲击一行的键和/或完全省略一些按键。此外，通过对迄今为止（30）的文本输入的延续（31）的建议也可以加速手动抄录，这种延续是凭借识别结果（ME）而预期的。

6. 发明授权

US08200487B2 Text segmentation and label assignment with user interaction by means of topic specific language models and topic-specific label statistics 有权
标题翻译：通过主题特定语言模型和主题特定标签统计信息，通过用户交互进行文本分割和标签分配
公开(公告)号：US08200487B2
公开(公告)日：2012-06-12
申请号：US10595831
申请日：2004-11-12
申请人： Jochen Peters , Evgeny Matusov , Carsten Meyer , Dietrich Klakow
发明人： Jochen Peters , Evgeny Matusov , Carsten Meyer , Dietrich Klakow
IPC分类号： G10L15/00
CPC分类号： G06F17/21 , G06F17/27 , G06F17/2765
摘要： The invention relates to a method, a computer program product, a segmentation system and a user interface for structuring an unstructured text by making use of statistical models trained on annotated training data. The method performs text segmentation into text sections and assigns labels to text sections as section headings. The performed segmentation and assignment is provided to a user for general review. Additionally, alternative segmentations and label assignments are provided to the user being capable to select alternative segmentations and alternative labels as well as to enter a user defined segmentation and user defined label. In response to the modifications introduced by the user, a plurality of different actions are initiated incorporating the re-segmentation and re-labelling of successive parts of the document or the entire document. Furthermore the method comprises a learning functionality, logging and analyzing user introduced modifications for adaptation of user's preferences and for further training of the statistical models.
摘要翻译：本发明涉及通过利用在注释训练数据上训练的统计模型来构造非结构化文本的方法，计算机程序产品，分割系统和用户界面。该方法执行文本分段到文本部分，并将标签分配给文本部分作为标题。执行的分割和分配被提供给用户进行一般审查。此外，替代分割和标签分配被提供给能够选择替代分割和替代标签以及输入用户定义的分割和用户定义标签的用户。响应于用户引入的修改，启动了多个不同的动作，其中包括文档或整个文档的连续部分的重新分割和重新标记。此外，该方法包括学习功能，记录和分析用户引入的修改以适应用户偏好和进一步训练统计模型。

7. 发明申请

US20070271086A1 TOPIC SPECIFIC MODELS FOR TEXT FORMATTING AND SPEECH RECOGNITION 有权
标题翻译：用于文本格式和语音识别的主题特定模型
公开(公告)号：US20070271086A1
公开(公告)日：2007-11-22
申请号：US10595830
申请日：2004-11-12
申请人： Jochen PETERS , Evgeny MATUSOV , Carsten MEYER , Dietrich KLAKOW
发明人： Jochen PETERS , Evgeny MATUSOV , Carsten MEYER , Dietrich KLAKOW
IPC分类号： G06F17/27
CPC分类号： G10L15/183 , G06F17/211 , G06F17/2715 , G10L15/32
摘要： The present invention relates to a method, a computer system and a computer program product for speech recognition and/or text formatting by making use of topic specific statistical models. A text document which may be obtained from a first speech recognition pass is subject to segmentation and to an assignment of topic specific models for each obtained section. Each model of the set of models provides statistic information about language model probabilities, about text processing or formatting rules, as e.g. the interpretation of commands for punctuation, formatting, text highlighting or of ambiguous text portions requiring specific formatting, as well as a specific vocabulary being characteristic for each section of the recognized text. Furthermore, other properties of a speech recognition and/or formatting system (such as e.g. settings for the speaking rate) may be encoded in the statistical models. The models themselves are generated on the basis of annotated training data and/or by manual coding. Based on the assignment of models to sections of text an improved speech recognition and/or text formatting procedure is performed.
摘要翻译：本发明涉及一种通过利用专题统计模型进行语音识别和/或文本格式化的方法，计算机系统和计算机程序产品。可以从第一语音识别通过获得的文本文档被分割并分配给每个获得的部分的主题特定模型的分配。模型集合中的每个模型提供关于语言模型概率，关于文本处理或格式化规则的统计信息，例如。用于标点符号，格式化，文本突出显示的命令的解释或需要特定格式化的不明确的文本部分以及对于识别的文本的每个部分特有的特定词汇表的解释。此外，可以在统计模型中编码语音识别和/或格式化系统的其他属性（例如用于说话率的设置）。模型本身是根据注释的训练数据和/或手动编码生成的。基于将模型分配给文本部分，执行改进的语音识别和/或文本格式化过程。

8. 发明申请

US20070216538A1 Method for Controlling a Media Content Processing Device, and a Media Content Processing Device 审中-公开
标题翻译：用于控制媒体内容处理设备的方法和媒体内容处理设备
公开(公告)号：US20070216538A1
公开(公告)日：2007-09-20
申请号：US10599882
申请日：2005-04-06
申请人： Eric Thelen , Dietrich Klakow , Georg Kurz-Bauer
发明人： Eric Thelen , Dietrich Klakow , Georg Kurz-Bauer
IPC分类号： H04B14/04
CPC分类号： H04N21/84 , H04N21/235 , H04N21/435 , H04N21/443 , H04N21/485
摘要： The invention describes a method for controlling a media content processing device (1). It is thereby determined whether a media content (VI) to be processed is described by a pre-defined content descriptor (CD1, CD2) from a multitude of pre-defined content descriptors (CD1, CD2). A device control parameter (P11, P12, P21, P22) is automatically adjusted based on the content descriptor (CD1, CD2) which describes the media content (VI) to be processed. Then, the media content processing device (1) is automatically controlled, based on the device control parameter (P11, P12, P21, P22).
摘要翻译：本发明描述了一种用于控制媒体内容处理设备（1）的方法。从而确定要由多个预定义内容描述符（CD 1，CD 2）的预定义内容描述符（CD 1，CD 2）描述要处理的媒体内容（VI）。基于描述要处理的媒体内容（VI）的内容描述符（CD 1，CD 2）自动调整设备控制参数（P 11，P 12，P 21，P 22）。然后，基于设备控制参数（P 11，P 12，P 21，P 22）自动控制媒体内容处理装置（1）。

9. 发明授权

US08332221B2 Text segmentation and label assignment with user interaction by means of topic specific language models and topic-specific label statistics 有权
标题翻译：通过主题特定语言模型和主题特定标签统计信息，通过用户交互进行文本分割和标签分配
公开(公告)号：US08332221B2
公开(公告)日：2012-12-11
申请号：US13210214
申请日：2011-08-15
申请人： Jochen Peters , Evgeny Matusov , Carsten Meyer , Dietrich Klakow
发明人： Jochen Peters , Evgeny Matusov , Carsten Meyer , Dietrich Klakow
IPC分类号： G10L15/00
CPC分类号： G06F17/21 , G06F17/27 , G06F17/2765
摘要： The invention relates to a method, a computer program product, a segmentation system and a user interface for structuring an unstructured text by making use of statistical models trained on annotated training data. The method performs text segmentation into text sections and assigns labels to text sections as section headings. The performed segmentation and assignment is provided to a user for general review. Additionally, alternative segmentations and label assignments are provided to the user being capable to select alternative segmentations and alternative labels as well as to enter a user defined segmentation and user defined label. In response to the modifications introduced by the user, a plurality of different actions are initiated incorporating the re-segmentation and re-labeling of successive parts of the document or the entire document.
摘要翻译：本发明涉及通过利用在注释训练数据上训练的统计模型来构造非结构化文本的方法，计算机程序产品，分割系统和用户界面。该方法执行文本分段到文本部分，并将标签分配给文本部分作为标题。执行的分割和分配被提供给用户进行一般审查。此外，替代分割和标签分配被提供给能够选择替代分割和替代标签以及输入用户定义的分割和用户定义标签的用户。响应于用户引入的修改，启动了多个不同的动作，其中包括文档或整个文档的连续部分的重新分割和重新标记。

10. 发明授权

US08041566B2 Topic specific models for text formatting and speech recognition 有权
标题翻译：用于文本格式和语音识别的主题具体模型
公开(公告)号：US08041566B2
公开(公告)日：2011-10-18
申请号：US10595830
申请日：2004-11-12
申请人： Jochen Peters , Evgeny Matusov , Carsten Meyer , Dietrich Klakow
发明人： Jochen Peters , Evgeny Matusov , Carsten Meyer , Dietrich Klakow
IPC分类号： G10L15/00
CPC分类号： G10L15/183 , G06F17/211 , G06F17/2715 , G10L15/32
摘要： The present invention relates to a method, a computer system and a computer program product for speech recognition and/or text formatting by making use of topic specific statistical models. A text document which may be obtained from a first speech recognition pass is subject to segmentation and to an assignment of topic specific models for each obtained section. Each model of the set of models provides statistic information about language model probabilities, about text processing or formatting rules, as e.g. the interpretation of commands for punctuation, formatting, text highlighting or of ambiguous text portions requiring specific formatting, as well as a specific vocabulary being characteristic for each section of the recognized text. Furthermore, other properties of a speech recognition and/or formatting system (such as e.g. settings for the speaking rate) may be encoded in the statistical models. The models themselves are generated on the basis of annotated training data and/or by manual coding. Based on the assignment of models to sections of text an improved speech recognition and/or text formatting procedure is performed.
摘要翻译：本发明涉及一种通过利用专题统计模型进行语音识别和/或文本格式化的方法，计算机系统和计算机程序产品。可以从第一语音识别通过获得的文本文档被分割并分配给每个获得的部分的主题特定模型的分配。模型集合中的每个模型提供关于语言模型概率，关于文本处理或格式化规则的统计信息，例如。用于标点符号，格式化，文本突出显示的命令的解释或需要特定格式化的不明确的文本部分以及对于识别的文本的每个部分特有的特定词汇表的解释。此外，可以在统计模型中编码语音识别和/或格式化系统的其他属性（例如用于说话率的设置）。模型本身是根据注释的训练数据和/或手动编码生成的。基于将模型分配给文本部分，执行改进的语音识别和/或文本格式化过程。

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