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1. 发明申请

US20120089629A1 Structured Searching of Dynamic Structured Document Corpuses 有权
标题翻译：动态结构化文档系统的结构化搜索
公开(公告)号：US20120089629A1
公开(公告)日：2012-04-12
申请号：US13269575
申请日：2011-10-08
申请人： Detlef Koll , Juergen Fritsch
发明人： Detlef Koll , Juergen Fritsch
IPC分类号： G06F17/30
CPC分类号： G06F17/30401 , G06F17/2705 , G06F17/3043 , G06F17/3064 , G06F17/30911
摘要： A system includes a document corpus containing structured documents, which contain both text and annotations of the text. The system also includes a search engine which is adapted to perform structured searches of the structured documents. As new types of annotations are added to the system, the search engine is updated automatically to become capable of performing structured searches for the new types of annotations. For example, if a new natural language processing (NLP) component, adapted to generate annotations of a new type, is added to the system, then the system automatically updates a query language to include a definition of the new type of annotation. The search engine may then immediately be capable of processing structured queries which refer to the new type of annotation.
摘要翻译：系统包括包含结构化文档的文档语料库，其中包含文本的文本和注释。该系统还包括适于执行结构化文档的结构化搜索的搜索引擎。随着新类型的注释被添加到系统中，搜索引擎将自动更新，以便能够对新类型的注释执行结构化搜索。例如，如果将适于生成新类型的注释的新的自然语言处理（NLP）组件添加到系统中，则系统自动更新查询语言以包括新类型的注释的定义。搜索引擎可以立即能够处理参考新类型的注释的结构化查询。

2. 发明申请

US20100318347A1 Content-Based Audio Playback Emphasis 有权
标题翻译：基于内容的音频播放强调
公开(公告)号：US20100318347A1
公开(公告)日：2010-12-16
申请号：US12859883
申请日：2010-08-20
申请人： Kjell Schubert , Juergen Fritsch , Michael Finke , Detlef Koll
发明人： Kjell Schubert , Juergen Fritsch , Michael Finke , Detlef Koll
IPC分类号： G06F17/27
CPC分类号： G10L15/26 , G06F17/273 , G06F17/2785 , G10L15/1807 , G10L15/22 , G10L15/265 , G10L21/04
摘要： Techniques are disclosed for facilitating the process of proofreading draft transcripts of spoken audio streams. In general, proofreading of a draft transcript is facilitated by playing back the corresponding spoken audio stream with an emphasis on those regions in the audio stream that are highly relevant or likely to have been transcribed incorrectly. Regions may be emphasized by, for example, playing them back more slowly than regions that are of low relevance and likely to have been transcribed correctly. Emphasizing those regions of the audio stream that are most important to transcribe correctly and those regions that are most likely to have been transcribed incorrectly increases the likelihood that the proofreader will accurately correct any errors in those regions, thereby improving the overall accuracy of the transcript.
摘要翻译：公开了用于促进校对口头音频流的草稿的过程的技术。一般来说，通过播放对应的口语音频流，强调音频流中与那些高度相关或可能被错误地转录的那些区域，来校对草稿。例如，区域可能会被强调为比相关程度低且可能被正确转录的地区的播放速度更慢。强调音频流中最重要的那些区域是正确转录的，那些最有可能被错误转录的区域增加了校对者准确地纠正这些区域中的任何错误的可能性，从而提高了抄本的整体准确性。

3. 发明申请

US20120323572A1 Document Extension in Dictation-Based Document Generation Workflow 有权
标题翻译：基于听写文档生成工作流程的文档扩展
公开(公告)号：US20120323572A1
公开(公告)日：2012-12-20
申请号：US13527347
申请日：2012-06-19
申请人： Detlef Koll , Juergen Fritsch , Michael Finke
发明人： Detlef Koll , Juergen Fritsch , Michael Finke
IPC分类号： G10L15/26
CPC分类号： G06F17/2247 , G06F3/167 , G06F17/24 , G06F19/00 , G10L15/22 , G10L15/26 , G10L2015/228 , G16H15/00
摘要： An automatic speech recognizer is used to produce a structured document representing the contents of human speech. A best practice is applied to the structured document to produce a conclusion, such as a conclusion that required information is missing from the structured document. Content is inserted into the structured document based on the conclusion, thereby producing a modified document. The inserted content may be obtained by prompting a human user for the content and receiving input representing the content from the human user.
摘要翻译：自动语音识别器用于产生表示人类语言内容的结构化文档。对结构化文档应用最佳实践来得出结论，例如从结构化文档中缺少所需信息的结论。根据结论将内容插入到结构化文档中，从而生成修改后的文档。插入的内容可以通过向人类用户提示内容并从人类用户接收表示内容的输入来获得。

4. 发明授权

US08959102B2 Structured searching of dynamic structured document corpuses 有权
标题翻译：动态结构化文档语料库的结构搜索
公开(公告)号：US08959102B2
公开(公告)日：2015-02-17
申请号：US13269575
申请日：2011-10-08
申请人： Detlef Koll , Juergen Fritsch
发明人： Detlef Koll , Juergen Fritsch
IPC分类号： G06F17/30
CPC分类号： G06F17/30401 , G06F17/2705 , G06F17/3043 , G06F17/3064 , G06F17/30911
摘要： A system includes a document corpus containing structured documents, which contain both text and annotations of the text. The system also includes a search engine which is adapted to perform structured searches of the structured documents. As new types of annotations are added to the system, the search engine is updated automatically to become capable of performing structured searches for the new types of annotations. For example, if a new natural language processing (NLP) component, adapted to generate annotations of a new type, is added to the system, then the system automatically updates a query language to include a definition of the new type of annotation. The search engine may then immediately be capable of processing structured queries which refer to the new type of annotation.
摘要翻译：系统包括包含结构化文档的文档语料库，其中包含文本的文本和注释。该系统还包括适于执行结构化文档的结构化搜索的搜索引擎。随着新类型的注释被添加到系统中，搜索引擎将自动更新，以便能够对新类型的注释执行结构化搜索。例如，如果将适于生成新类型的注释的新的自然语言处理（NLP）组件添加到系统中，则系统自动更新查询语言以包括新类型的注释的定义。搜索引擎可以立即能够处理参考新类型的注释的结构化查询。

5. 发明授权

US08335688B2 Document transcription system training 有权
标题翻译：文件转录系统培训
公开(公告)号：US08335688B2
公开(公告)日：2012-12-18
申请号：US10922513
申请日：2004-08-20
申请人： Girija Yegnanarayanan , Michael Finke , Juergen Fritsch , Detlef Koll , Monika Woszczyna
发明人： Girija Yegnanarayanan , Michael Finke , Juergen Fritsch , Detlef Koll , Monika Woszczyna
IPC分类号： G10L15/26 , G10L15/18
CPC分类号： G10L15/063 , G10L15/193 , G10L15/26
摘要： A system is provided for training an acoustic model for use in speech recognition. In particular, such a system may be used to perform training based on a spoken audio stream and a non-literal transcript of the spoken audio stream. Such a system may identify text in the non-literal transcript which represents concepts having multiple spoken forms. The system may attempt to identify the actual spoken form in the audio stream which produced the corresponding text in the non-literal transcript, and thereby produce a revised transcript which more accurately represents the spoken audio stream. The revised, and more accurate, transcript may be used to train the acoustic model, thereby producing a better acoustic model than that which would be produced using conventional techniques, which perform training based directly on the original non-literal transcript.
摘要翻译：提供用于训练用于语音识别的声学模型的系统。特别地，这样的系统可以用于基于口语音频流和口头音频流的非文字转录来执行训练。这样的系统可以识别表示具有多个口头形式的概念的非文字记录中的文本。该系统可以尝试在音频流中识别在非文字转录中产生相应文本的音频流中的实际语音形式，从而产生更准确地表示语音音频流的经修改的脚本。修改和更准确的誊本可用于训练声学模型，从而产生比使用直接基于原始非文字誊本进行训练的常规技术产生的更好的声学模型。

6. 发明申请

US20100299135A1 Automated Extraction of Semantic Content and Generation of a Structured Document from Speech 审中-公开
标题翻译：语义内容的自动提取和语音结构化文档的生成
公开(公告)号：US20100299135A1
公开(公告)日：2010-11-25
申请号：US12471167
申请日：2009-05-22
申请人： Juergen Fritsch , Michael Finke , Detlef Koll , Monika Woszczyna , Girija Yegnanarayanan
发明人： Juergen Fritsch , Michael Finke , Detlef Koll , Monika Woszczyna , Girija Yegnanarayanan
IPC分类号： G10L15/26 , G06F17/27
CPC分类号： G06F17/2785 , G10L15/32 , G10L2015/228
摘要： Techniques are disclosed for automatically generating structured documents based on speech, including identification of relevant concepts and their interpretation. In one embodiment, a structured document generator uses an integrated process to generate a structured textual document (such as a structured textual medical report) based on a spoken audio stream. The spoken audio stream may be recognized using a language model which includes a plurality of sub-models arranged in a hierarchical structure. Each of the sub-models may correspond to a concept that is expected to appear in the spoken audio stream. Different portions of the spoken audio stream may be recognized using different sub-models. The resulting structured textual document may have a hierarchical structure that corresponds to the hierarchical structure of the language sub-models that were used to generate the structured textual document.
摘要翻译：公开了基于语音自动生成结构化文档的技术，包括识别相关概念及其解释。在一个实施例中，结构化文档生成器使用集成过程来基于口头音频流来生成结构化文本文档（诸如结构化文本医疗报告）。可以使用包括以分层结构布置的多个子模型的语言模型来识别口语音频流。每个子模型可以对应于期望出现在口头音频流中的概念。可以使用不同的子模型来识别口语音频流的不同部分。所得到的结构化文本文档可以具有对应于用于生成结构化文本文档的语言子模型的分层结构的层次结构。

7. 发明授权

US08918317B2 Decoding-time prediction of non-verbalized tokens 有权
标题翻译：非语言令牌的解码时间预测
公开(公告)号：US08918317B2
公开(公告)日：2014-12-23
申请号：US12566785
申请日：2009-09-25
申请人： Juergen Fritsch , Anoop Deoras , Detlef Koll
发明人： Juergen Fritsch , Anoop Deoras , Detlef Koll
IPC分类号： G10L15/26
CPC分类号： G10L19/0018 , G10L15/063 , G10L15/197 , G10L15/26 , G10L15/265
摘要： Non-verbalized tokens, such as punctuation, are automatically predicted and inserted into a transcription of speech in which the tokens were not explicitly verbalized. Token prediction may be integrated with speech decoding, rather than performed as a post-process to speech decoding.
摘要翻译：自动预测非言语标记，例如标点符号，并将其插入到言语的转录中，其中令牌不被明确地言语化。令牌预测可以与语音解码集成，而不是作为语音解码的后处理来执行。

8. 发明授权

US08781829B2 Document extension in dictation-based document generation workflow 有权
标题翻译：基于口授的文档生成工作流中的文档扩展
公开(公告)号：US08781829B2
公开(公告)日：2014-07-15
申请号：US13527347
申请日：2012-06-19
申请人： Detlef Koll , Juergen Fritsch , Michael Finke
发明人： Detlef Koll , Juergen Fritsch , Michael Finke
IPC分类号： G10L15/00
CPC分类号： G06F17/2247 , G06F3/167 , G06F17/24 , G06F19/00 , G10L15/22 , G10L15/26 , G10L2015/228 , G16H15/00
摘要： An automatic speech recognizer is used to produce a structured document representing the contents of human speech. A best practice is applied to the structured document to produce a conclusion, such as a conclusion that required information is missing from the structured document. Content is inserted into the structured document based on the conclusion, thereby producing a modified document. The inserted content may be obtained by prompting a human user for the content and receiving input representing the content from the human user.
摘要翻译：自动语音识别器用于产生表示人类语言内容的结构化文档。对结构化文档应用最佳实践来得出结论，例如从结构化文档中缺少所需信息的结论。根据结论将内容插入到结构化文档中，从而生成修改后的文档。插入的内容可以通过向人类用户提示内容并从人类用户接收表示内容的输入来获得。

9. 发明授权

US07844464B2 Content-based audio playback emphasis 有权
标题翻译：基于内容的音频播放强调
公开(公告)号：US07844464B2
公开(公告)日：2010-11-30
申请号：US11187119
申请日：2005-07-22
申请人： Kjell Schubert , Juergen Fritsch , Michael Finke , Detlef Koll
发明人： Kjell Schubert , Juergen Fritsch , Michael Finke , Detlef Koll
IPC分类号： G10L21/00
CPC分类号： G10L15/26 , G06F17/273 , G06F17/2785 , G10L15/1807 , G10L15/22 , G10L15/265 , G10L21/04
摘要： Techniques are disclosed for facilitating the process of proofreading draft transcripts of spoken audio streams. In general, proofreading of a draft transcript is facilitated by playing back the corresponding spoken audio stream with an emphasis on those regions in the audio stream that are highly relevant or likely to have been transcribed incorrectly. Regions may be emphasized by, for example, playing them back more slowly than regions that are of low relevance and likely to have been transcribed correctly. Emphasizing those regions of the audio stream that are most important to transcribe correctly and those regions that are most likely to have been transcribed incorrectly increases the likelihood that the proofreader will accurately correct any errors in those regions, thereby improving the overall accuracy of the transcript.
摘要翻译：公开了用于促进校对口头音频流的草稿的过程的技术。一般来说，通过播放对应的口语音频流，强调音频流中与那些高度相关或可能被错误地转录的那些区域，来校对草稿。例如，区域可能会被强调为比相关程度低且可能被正确转录的地区的播放速度更慢。强调音频流中最重要的那些区域是正确转录的，那些最有可能被错误转录的区域增加了校对者准确地纠正这些区域中的任何错误的可能性，从而提高了抄本的整体准确性。

10. 发明申请

US20080177623A1 Monitoring User Interactions With A Document Editing System 审中-公开
标题翻译：监控与文档编辑系统的用户交互
公开(公告)号：US20080177623A1
公开(公告)日：2008-07-24
申请号：US12018453
申请日：2008-01-23
申请人： Juergen Fritsch , Detlef Koll , Kjell Schubert , Christopher M. Currivan
发明人： Juergen Fritsch , Detlef Koll , Kjell Schubert , Christopher M. Currivan
IPC分类号： G06Q10/00
CPC分类号： G06Q10/10 , G06Q10/0633 , G06Q10/06398 , G10L15/26
摘要： A human editor uses a document editing system to edit a draft document. The editor's editing behavior is monitored and logged. Statistics are developed from the log to produce an assessment of the editor's productivity. This assessment, in combination with assessments of other editors, may be used to develop behavioral metrics which indicate correlations between editing behaviors and productivity. The behavioral metrics may be used to identify including the relative contribution to efficient editing of different editing behaviors. Such information about individual editing behaviors may be used to evaluate the productivity of individual editors based on their editing behaviors, to identify behaviors which individual editors could adopt to improve their productivities, and to identify changes to the editing system itself for improving editor productivity. An editor's editing behavior may be “played back” and observed by a human in an attempt to identify the causes of the editor's poor productivity.
摘要翻译：人工编辑器使用文档编辑系统来编辑草稿文档。编辑器的编辑行为被监视和记录。从日志开发统计数据，以对编辑的生产力进行评估。此评估结合其他编辑者的评估可用于制定行为指标，指示编辑行为与生产率之间的相关性。可以使用行为度量来识别包括对不同编辑行为的有效编辑的相对贡献。关于个人编辑行为的这些信息可以用于基于他们的编辑行为来评估个体编辑者的生产率，以识别个体编辑者可以采用哪些行为来提高其生产力，并且识别对编辑系统本身的改变以提高编辑器生产率。编辑的编辑行为可能会被“回放”，并由人们观察，试图找出编辑人员生产力低下的原因。

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