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31. 发明授权

US07373300B1 System and method of providing a spoken dialog interface to a website 有权
标题翻译：向网站提供口语对话界面的系统和方法
公开(公告)号：US07373300B1
公开(公告)日：2008-05-13
申请号：US10740186
申请日：2003-12-18
申请人： Srinivas Bangalore , Junlan Feng , Mazin G. Rahim
发明人： Srinivas Bangalore , Junlan Feng , Mazin G. Rahim
IPC分类号： G10L15/22 , G10L13/08 , G10L15/18 , G06F17/27
CPC分类号： G10L13/08 , G06F17/27 , G10L15/063 , G10L15/183 , G10L15/22 , H04M3/4936
摘要： Disclosed is a system and method for generating a spoken dialog service from website data. Spoken dialog components typically include an automatic speech recognition module, a language understanding module, a dialog management module, a language generation module and a test-to-speech module. These components are capable of being automatically trained from processed website data. A website analyzer converts a website into structured text data set and a structured task knowledge base. The website analyzer further extracts linguistic items from the website data. The dialog components are automatically trained from the structured text data set, structured task knowledge base and linguistic items.
摘要翻译：公开了一种用于从网站数据生成口语对话服务的系统和方法。口语对话组件通常包括自动语音识别模块，语言理解模块，对话管理模块，语言生成模块和测试语音模块。这些组件能够被处理的网站数据自动训练。网站分析器将网站转换为结构化文本数据集和结构化任务知识库。网站分析器进一步从网站数据中提取语言项目。对话组件由结构化文本数据集，结构化任务知识库和语言项目自动进行训练。

32. 发明授权

US08818808B2 Unsupervised and active learning in automatic speech recognition for call classification 有权
标题翻译：无监督和主动学习自动语音识别呼叫分类
公开(公告)号：US08818808B2
公开(公告)日：2014-08-26
申请号：US11063910
申请日：2005-02-23
申请人： Dilek Z. Hakkani-Tur , Mazin G. Rahim , Giuseppe Riccardi , Gokhan Tur
发明人： Dilek Z. Hakkani-Tur , Mazin G. Rahim , Giuseppe Riccardi , Gokhan Tur
IPC分类号： G10L15/06
CPC分类号： G10L15/063 , G10L15/07 , G10L15/18 , G10L15/26 , G10L2015/0638
摘要： Utterance data that includes at least a small amount of manually transcribed data is provided. Automatic speech recognition is performed on ones of the utterance data not having a corresponding manual transcription to produce automatically transcribed utterances. A model is trained using all of the manually transcribed data and the automatically transcribed utterances. A predetermined number of utterances not having a corresponding manual transcription are intelligently selected and manually transcribed. Ones of the automatically transcribed data as well as ones having a corresponding manual transcription are labeled. In another aspect of the invention, audio data is mined from at least one source, and a language model is trained for call classification from the mined audio data to produce a language model.
摘要翻译：提供了至少包含少量手动转录数据的语音数据。对没有相应的手动转录的话语数据中的一个进行自动语音识别以产生自动转录的话语。使用所有手动转录数据和自动转录的话语训练模型。智能地选择并且手动地转录预定数量的不具有对应的手动转录的话语。自动转录的数据以及具有相应手动转录的数据的标签。在本发明的另一方面，音频数据从至少一个源开始，并且语言模型被训练用于从所开采的音频数据进行呼叫分类以产生语言模型。

33. 发明授权

US08666746B2 System and method for generating customized text-to-speech voices 有权
标题翻译：用于生成定制的文本到语音语音的系统和方法
公开(公告)号：US08666746B2
公开(公告)日：2014-03-04
申请号：US10845364
申请日：2004-05-13
申请人： Srinivas Bangalore , Junlan Feng , Mazin G. Rahim , Juergen Schroeter , David Eugene Schulz , Ann K. Syrdal
发明人： Srinivas Bangalore , Junlan Feng , Mazin G. Rahim , Juergen Schroeter , David Eugene Schulz , Ann K. Syrdal
IPC分类号： G10L13/00 , G10L13/08
CPC分类号： G10L13/033 , G10L13/00 , G10L13/02 , G10L13/06 , G10L13/08 , G10L15/197
摘要： A system and method are disclosed for generating customized text-to-speech voices for a particular application. The method comprises generating a custom text-to-speech voice by selecting a voice for generating a custom text-to-speech voice associated with a domain, collecting text data associated with the domain from a pre-existing text data source and using the collected text data, generating an in-domain inventory of synthesis speech units by selecting speech units appropriate to the domain via a search of a pre-existing inventory of synthesis speech units, or by recording the minimal inventory for a selected level of synthesis quality. The text-to-speech custom voice for the domain is generated utilizing the in-domain inventory of synthesis speech units. Active learning techniques may also be employed to identify problem phrases wherein only a few minutes of recorded data is necessary to deliver a high quality TTS custom voice.
摘要翻译：公开了用于为特定应用产生定制的文本到语音语音的系统和方法。该方法包括通过选择用于生成与域相关联的自定义文本到语音语音的语音来生成自定义文本到语音语音，从预先存在的文本数据源收集与域相关联的文本数据，并使用收集的文本数据，通过搜索合成语音单元的预先存在的库存来选择适合于该域的语音单元，或者通过记录所选合成质量水平的最小库存来生成合成语音单元的域内库存。使用合成语音单元的域内库存来生成域的文本到语音定制语音。还可以使用主动学习技术来识别问题短语，其中只需要几分钟的记录数据来传送高质量的TTS定制语音。

34. 发明申请

US20120316866A1 SYSTEM AND METHOD OF PROVIDING A SPOKEN DIALOG INTERFACE TO A WEBSITE 有权
标题翻译：向网站提供SPOKEN对话界面的系统和方法
公开(公告)号：US20120316866A1
公开(公告)日：2012-12-13
申请号：US13587554
申请日：2012-08-16
申请人： Srinivas Bangalore , Junlan Feng , Mazin G. Rahim
发明人： Srinivas Bangalore , Junlan Feng , Mazin G. Rahim
IPC分类号： G06F17/27
CPC分类号： G10L13/08 , G06F17/27 , G10L15/063 , G10L15/183 , G10L15/22 , H04M3/4936
摘要： Disclosed is a system and method for training a spoken dialog service component from website data. Spoken dialog service components typically include an automatic speech recognition module, a language understanding module, a dialog management module, a language generation module and a text-to-speech module. The method includes converting data from a structured database associated with a website to a structured text data set and a structured task knowledge base, extracting linguistic items from the structured database, and training a spoken dialog service component using at least one of the structured text data, the structured task knowledge base, or the linguistic items. The system includes modules configured to implement the method.
摘要翻译：公开了一种用于从网站数据训练口语对话服务组件的系统和方法。口语对话服务组件通常包括自动语音识别模块，语言理解模块，对话管理模块，语言生成模块和文本到语音模块。该方法包括将来自与网站相关联的结构化数据库的数据转换为结构化文本数据集和结构化任务知识库，从结构化数据库中提取语言项目，以及使用至少一个结构化文本数据来训练口语对话服务组件，结构化任务知识库或语言项目。该系统包括配置为实现该方法的模块。

35. 发明申请

US20120072222A1 Automatic Detection, Summarization And Reporting Of Business Intelligence Highlights From Automated Dialog Systems 有权
标题翻译：自动对话系统的商业智能自动检测，总结和报告
公开(公告)号：US20120072222A1
公开(公告)日：2012-03-22
申请号：US13305077
申请日：2011-11-28
申请人： Tirso M. Alonso , Shona Douglas , Mazin G. Rahim , Benjamin J. Stern
发明人： Tirso M. Alonso , Shona Douglas , Mazin G. Rahim , Benjamin J. Stern
IPC分类号： G10L15/18
CPC分类号： G06Q30/02
摘要： A method and system for reporting data from a spoken dialog service is disclosed. The method comprises extracting data regarding user dialogs using a dialog logging module in the spoken dialog service, analyzing the data to identify trends and reporting the trends. The data may be presented in a visual form for easier consumption. The method may also relate to identifying data within the control or outside the control of a service provider that is used to adjust the spoken dialog service to maximize customer retention.
摘要翻译：公开了一种用于从口头对话服务报告数据的方法和系统。该方法包括使用口语对话服务中的对话记录模块提取关于用户对话的数据，分析数据以识别趋势并报告趋势。数据可以以视觉形式呈现，以便于消费。该方法还可以涉及识别用于调整口头对话服务以最大化客户保留的服务提供商的控制之内或外部的数据。

36. 发明授权

US08086462B1 Automatic detection, summarization and reporting of business intelligence highlights from automated dialog systems 有权
标题翻译：从自动对话系统中自动检测，总结和报告商业智能
公开(公告)号：US08086462B1
公开(公告)日：2011-12-27
申请号：US10936835
申请日：2004-09-09
申请人： Tirso M. Alonso , Shona Douglas , Mazin G. Rahim , Benjamin J. Stern
发明人： Tirso M. Alonso , Shona Douglas , Mazin G. Rahim , Benjamin J. Stern
IPC分类号： G10L21/00 , G10L15/28 , H04M1/64
CPC分类号： G06Q30/02
摘要： A method and system for reporting data from a spoken dialog service is disclosed. The method comprises extracting data regarding user dialogs using a dialog logging module in the spoken dialog service, analyzing the data to identify trends and reporting the trends. The data may be presented in a visual form for easier consumption. The method may also relate to identifying data within the control or outside the control of a service provider that is used to adjust the spoken dialog service to maximize customer retention.
摘要翻译：公开了一种用于从口头对话服务报告数据的方法和系统。该方法包括使用口语对话服务中的对话记录模块提取关于用户对话的数据，分析数据以识别趋势并报告趋势。数据可以以视觉形式呈现，以便于消费。该方法还可以涉及识别用于调整口头对话服务以最大化客户保留的服务提供商的控制之内或外部的数据。

37. 发明申请

US20100042404A1 METHOD FOR BUILDING A NATURAL LANGUAGE UNDERSTANDING MODEL FOR A SPOKEN DIALOG SYSTEM 有权
标题翻译：用于建立自然语言的方法来理解对讲机系统的模型
公开(公告)号：US20100042404A1
公开(公告)日：2010-02-18
申请号：US12582062
申请日：2009-10-20
申请人： Narendra K. Gupta , Mazin G. Rahim , Gokhan Tur , Antony Van der Mude
发明人： Narendra K. Gupta , Mazin G. Rahim , Gokhan Tur , Antony Van der Mude
IPC分类号： G10L15/18 , G06F17/27
CPC分类号： G10L15/193 , G10L15/063 , G10L15/183
摘要： A method of generating a natural language model for use in a spoken dialog system is disclosed. The method comprises using sample utterances and creating a number of hand crafted rules for each call-type defined in a labeling guide. A first NLU model is generated and tested using the hand crafted rules and sample utterances. A second NLU model is built using the sample utterances as new training data and using the hand crafted rules. The second NLU model is tested for performance using a first batch of labeled data. A series of NLU models are built by adding a previous batch of labeled data to training data and using a new batch of labeling data as test data to generate the series of NLU models with training data that increases constantly. If not all the labeling data is received, the method comprises repeating the step of building a series of NLU models until all labeling data is received. After all the training data is received, at least once, the method comprises building a third NLU model using all the labeling data, wherein the third NLU model is used in generating the spoken dialog service.
摘要翻译：公开了一种生成在口头对话系统中使用的自然语言模型的方法。该方法包括对标签指南中定义的每个呼叫类型使用样本话语和创建许多手工制作规则。使用手工制作的规则和样品说话来生成和测试第一个NLU模型。使用示例语句作为新的训练数据并使用手工制作规则构建了第二个NLU模型。使用第一批标签数据对第二个NLU模型进行性能测试。通过将前一批标签数据添加到训练数据并使用新批签名数据作为测试数据来生成一系列NLU模型，训练数据不断增加，构建了一系列NLU模型。如果不是全部接收到标签数据，则该方法包括重复建立一系列NLU模型的步骤，直到接收到所有标记数据为止。在接收到所有训练数据之后，至少一次，该方法包括使用所有标签数据构建第三NLU模型，其中第三NLU模型用于生成口语对话服务。

38. 发明授权

US07660400B2 Method and apparatus for automatically building conversational systems 有权
标题翻译：自动构建对话系统的方法和装置
公开(公告)号：US07660400B2
公开(公告)日：2010-02-09
申请号：US10742466
申请日：2003-12-19
申请人： Srinivas Bangalore , Junlan Feng , Mazin G. Rahim
发明人： Srinivas Bangalore , Junlan Feng , Mazin G. Rahim
IPC分类号： H04M1/64
CPC分类号： G06F17/243 , G06Q10/06311 , G06Q30/0201 , G06Q30/0635 , H04L12/6418 , H04M3/4938 , H04M7/0009 , H04M7/0036 , H04M2201/40 , H04M2201/60 , H04M2203/355
摘要： A system and method provides a natural language interface to world-wide web content. Either in advance or dynamically, webpage content is parsed using a parsing algorithm. A person using a telephone interface can provide speech information, which is converted to text and used to automatically fill in input fields on a webpage form. The form is then submitted to a database search and a response is generated. Information contained on the responsive webpage is extracted and converted to speech via a text-to-speech engine and communicated to the person.
摘要翻译：系统和方法为世界各地的Web内容提供了一种自然语言界面。提前或动态地，使用解析算法解析网页内容。使用电话接口的人可以提供语音信息，其被转换成文本并用于自动填写网页表单上的输入字段。然后将表单提交到数据库搜索，并生成响应。包含在响应网页上的信息被提取并经由文本到语音引擎转换成语音，并传达给该人。

39. 发明授权

US07580842B1 System and method of providing a spoken dialog interface to a website 有权
标题翻译：向网站提供口语对话界面的系统和方法
公开(公告)号：US07580842B1
公开(公告)日：2009-08-25
申请号：US11928886
申请日：2007-10-30
申请人： Srinivas Bangalore , Junlan Feng , Mazin G. Rahim
发明人： Srinivas Bangalore , Junlan Feng , Mazin G. Rahim
IPC分类号： G10L15/22 , G10L13/08 , G10L15/18
CPC分类号： G10L13/08 , G06F17/27 , G10L15/063 , G10L15/183 , G10L15/22 , H04M3/4936
摘要： Disclosed is a system and method for generating a spoken dialog service from website data. Spoken dialog components typically include an automatic speech recognition module, a language understanding module, a dialog management module, a language generation module and a text-to-speech module. These components are capable of being automatically trained from processed website data. A website analyzer converts a website into structured text data set and a structured task knowledge base. The website analyzer further extracts linguistic items from the website data. The dialog components are automatically trained from the structured text data set, structured task knowledge base and linguistic items.
摘要翻译：公开了一种用于从网站数据生成口语对话服务的系统和方法。口语对话组件通常包括自动语音识别模块，语言理解模块，对话管理模块，语言生成模块和文本到语音模块。这些组件能够被处理的网站数据自动训练。网站分析器将网站转换为结构化文本数据集和结构化任务知识库。网站分析器进一步从网站数据中提取语言项目。对话组件由结构化文本数据集，结构化任务知识库和语言项目自动进行训练。

40. 发明授权

US07292976B1 Active learning process for spoken dialog systems 有权
标题翻译：口语对话系统的主动学习过程
公开(公告)号：US07292976B1
公开(公告)日：2007-11-06
申请号：US10447888
申请日：2003-05-29
申请人： Dilek Z. Hakkani-Tur , Mazin G. Rahim , Giuseppe Riccardi , Gokhan Tur
发明人： Dilek Z. Hakkani-Tur , Mazin G. Rahim , Giuseppe Riccardi , Gokhan Tur
IPC分类号： G06F17/27 , G10L15/00
CPC分类号： G06F17/2775 , G06F17/277 , G10L2015/0631
摘要： A large amount of human labor is required to transcribe and annotate a training corpus that is needed to create and update models for automatic speech recognition (ASR) and spoken language understanding (SLU). Active learning enables a reduction in the amount of transcribed and annotated data required to train ASR and SLU models. In one aspect of the present invention, an active learning ASR process and active learning SLU process are coupled, thereby enabling further efficiencies to be gained relative to a process that maintains an isolation of data in both the ASR and SLU domains.
摘要翻译：需要大量的人力劳动来转录和注释创建和更新自动语音识别（ASR）和语言理解（SLU）模型所需的训练语料库。主动学习可以减少训练ASR和SLU模型所需的转录和注释数据量。在本发明的一个方面，耦合主动学习ASR过程和主动学习SLU过程，从而相对于维持ASR和SLU域中的数据隔离的过程而获得进一步的效率。

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