公开(公告)号：US20110321098A1

公开(公告)日：2011-12-29

申请号：US12823734

申请日：2010-06-25

Applicant: Srinivas Bangalore ,  Mazin Gilbert ,  Michael Johnston

Inventor： Srinivas Bangalore ,  Mazin Gilbert ,  Michael Johnston

IPC: H04N5/445 ,  H04N7/173

CPC classification number: H04N21/44222 ,  G06F17/30743 ,  G06F17/30787 ,  G06F17/30864 ,  G06F17/30964 ,  H04N7/0884 ,  H04N21/2355 ,  H04N21/435 ,  H04N21/4394 ,  H04N21/44008 ,  H04N21/440236 ,  H04N21/4532 ,  H04N21/4622 ,  H04N21/47815 ,  H04N21/4828 ,  H04N21/4884 ,  H04N21/8405

Abstract: An Internet Protocol television system includes a user profile agent, a keyword detection agent, and an information search agent. The user profile agent is in communication with a multimedia device, and generates a user profile based on information received from the multimedia device. The keyword detection agent is in communication with the user profile agent, and searches text associated with a multimedia video stream transmitted to the multimedia device for keywords associated with the user profile. The information search agent is in communication with the keyword detection agent, and connects to an information source associated with the keywords detected by the keyword detection agent, and provides additional information associated with the keywords to the multimedia device.

Abstract translation: 互联网协议电视系统包括用户简档代理，关键字检测代理和信息搜索代理。 用户简档代理与多媒体设备通信，并且基于从多媒体设备接收的信息来生成用户简档。 关键字检测代理与用户简档代理进行通信，并且搜索与传输到多媒体设备的多媒体视频流相关联的文本，以获得与用户简档相关联的关键字。 信息搜索代理与关键字检测代理进行通信，并且连接到与由关键字检测代理检测到的关键字相关联的信息源，并向多媒体设备提供与关键字相关联的附加信息。

公开(公告)号：US20110184973A1

公开(公告)日：2011-07-28

申请号：US13007931

申请日：2011-01-17

Applicant: SRINIVAS BANGALORE ,  Junlan Feng ,  Mazin Gilbert

Inventor： SRINIVAS BANGALORE ,  Junlan Feng ,  Mazin Gilbert

IPC: G06F17/30

CPC classification number: G06F17/3089

Abstract: A method and apparatus for automatically detecting and extracting information from dynamically generated web pages are disclosed. For example, the present method stores user provided information that is entered into a form interlace of a web page for a first query. Responsive to the first query, a first response web page is received and stored. The present method then automatically generates a second query to acquire a second response web page that is responsive to the second query. Finally, the present method compares the first response web page and the second response web page. In one embodiment, the present invention extracts information that is dissimilar between the first response web page and the second response web page. This extracted information is deemed to be the pertinent information requested by the user.

Abstract translation: 公开了一种用于从动态生成的网页自动检测和提取信息的方法和装置。 例如，本方法将用户提供的信息存储在用于第一查询的网页的交错格式中。 响应于第一个查询，收到并存储第一个响应网页。 本方法然后自动生成第二查询以获取响应于第二查询的第二响应网页。 最后，本方法比较第一响应网页和第二响应网页。 在一个实施例中，本发明提取在第一响应网页和第二响应网页之间不相似的信息。 该提取的信息被认为是用户请求的相关信息。

公开(公告)号：US20090254498A1

公开(公告)日：2009-10-08

申请号：US12080443

申请日：2008-04-03

Applicant: Narendra Gupta ,  Mazin Gilbert

Inventor： Narendra Gupta ,  Mazin Gilbert

IPC: G06F15/18

CPC classification number: G06Q10/107

Abstract: Disclosed is a method and system for identifying critical emails. To identify critical emails, a critical email classifier is trained from training data comprising labeled emails. The classifier extracts N-grams from the training data and identifies N-gram features from the extracted N-grams. The classifier also extracts salient features from the training data. The classifier is trained based on the identified N-gram features and the salient features so that the classifier can classify unlabeled emails as critical emails or non-critical emails.

Abstract translation: 公开了用于识别关键电子邮件的方法和系统。 为了识别关键的电子邮件，关键的电子邮件分类器是从包含标记的电子邮件的数据的培训中进行培训的。 分类器从训练数据中提取N-gram，并从提取的N-gram中识别N-gram特征。 分类器还从训练数据中提取突出特征。 分类器基于识别的N-gram特征和突出特征进行训练，以便分类器可以将未标记的电子邮件分类为关键电子邮件或非关键电子邮件。

公开(公告)号：US20090112600A1

公开(公告)日：2009-04-30

申请号：US11931830

申请日：2007-10-31

Applicant: Mazin Gilbert ,  Christopher Volinsky

Inventor： Mazin Gilbert ,  Christopher Volinsky

IPC: G10L11/00

CPC classification number: G10L15/193 ,  G10L15/065 ,  G10L2015/228

Abstract: Disclosed are systems, methods and computer-readable media for using a local communication network to generate a speech model. The method includes retrieving for an individual a list of numbers in a calling history, identifying a local neighborhood associated with each number in the calling history, truncating the local neighborhood associated with each number based on the at least one parameter, retrieving a local communication network associated with each number in the calling history and each phone number in the local neighborhood, and creating a language model for the individual based on the retrieved local communication network. The generated language model may be used for improved automatic speech recognition for audible searches as well as other modules in a spoken dialog system.

Abstract translation: 公开了用于使用本地通信网络生成语音模型的系统，方法和计算机可读介质。 该方法包括检索个人在呼叫历史中的号码列表，识别与呼叫历史中的每个号码相关联的本地邻域，基于该至少一个参数截断与每个号码相关联的本地邻域，检索本地通信网络 与呼叫历史中的每个号码和本地邻域中的每个电话号码相关联，以及基于所检索的本地通信网络为个人创建语言模型。 生成的语言模型可以用于改善声音搜索的自动语音识别以及口语对话系统中的其他模块。

公开(公告)号：US20090076795A1

公开(公告)日：2009-03-19

申请号：US11857036

申请日：2007-09-18

Applicant: Srinivas Bangalore ,  Mazin Gilbert ,  Narendra Gupta

Inventor： Srinivas Bangalore ,  Mazin Gilbert ,  Narendra Gupta

IPC: G06F17/27

CPC classification number: G06F17/2785

Abstract: In accordance with one aspect of the present invention, an automated method of and system for generating a response to a text-based natural language message is disclosed. The method includes identifying a sentence in the text-based natural language message. Also, identifying an input clause in the sentence. Further, comparing the input clause to a previously received clause, where the previously received clause is correlated with a previously generated response message. Additionally, generating an output response message based on the previously generated response message. The system includes means for performing the method steps.

Abstract translation: 根据本发明的一个方面，公开了一种用于生成对基于文本的自然语言消息的响应的自动化方法和系统。 该方法包括识别基于文本的自然语言消息中的句子。 另外，确定句子中的一个input子句。 此外，将输入子句与先前接收的子句进行比较，其中先前接收的子句与先前生成的响应消息相关联。 另外，基于先前生成的响应消息生成输出响应消息。 该系统包括用于执行方法步骤的装置。

公开(公告)号：US20080319741A1

公开(公告)日：2008-12-25

申请号：US11765527

申请日：2007-06-20

Applicant: Mazin Gilbert

Inventor： Mazin Gilbert

IPC: G10L15/00

CPC classification number: G10L15/07

Abstract: Disclosed are systems, methods, and computer readable media for performing speech recognition. The method embodiment comprises selecting a codebook from a plurality of codebooks with a minimal acoustic distance to a received speech sample, the plurality of codebooks generated by a process of (a) computing a vocal tract length for a each of a plurality of speakers, (b) for each of the plurality of speakers, clustering speech vectors, and (c) creating a codebook for each speaker, the codebook containing entries for the respective speaker's vocal tract length, speech vectors, and an optional vector weight for each speech vector, (2) applying the respective vocal tract length associated with the selected codebook to normalize the received speech sample for use in speech recognition, and (3) recognizing the received speech sample based on the respective vocal tract length associated with the selected codebook.

Abstract translation: 公开了用于执行语音识别的系统，方法和计算机可读介质。 方法实施例包括从具有对接收到的语音样本的最小声距离的多个码本中选择码本，所述多个码本通过（a）计算多个扬声器中的每一个的声道长度的处理而生成（ b）对于所述多个扬声器中的每一个，聚类语音向量，以及（c）为每个说话者创建码本，所述码本包含用于每个语音向量的相应说话者声道长度，语音向量和可选矢量权重的条目， （2）应用与所选码本相关联的相应声道长度，以规范化用于语音识别的接收到的语音样本，以及（3）基于与所选码本相关联的相应声道长度来识别所接收的语音样本。

公开(公告)号：US20080120646A1

公开(公告)日：2008-05-22

申请号：US11601993

申请日：2006-11-20

Applicant: Benjamin J. Stern ,  Mazin Gilbert ,  Narendra Gupta

Inventor： Benjamin J. Stern ,  Mazin Gilbert ,  Narendra Gupta

IPC: H04N7/10

CPC classification number: H04N21/8456 ,  G06Q30/02 ,  H04N21/23892 ,  H04N21/4662 ,  H04N21/47202 ,  H04N21/8133 ,  H04N21/816

Abstract: A method and system are provided for automatically selecting advertisements for placement in media content segments such as video segments. The method utilizes a classification engine to analyze values of a feature set extracted from the video segment, and to select one or more categories of advertisements to place in the segment. The classification engine is trainable using training data such as historical video segments in which advertisements were placed manually, and using performance data measuring the effectiveness of past advertisement placement in particular segments.

Abstract translation: 提供了一种方法和系统，用于自动选择广告以便放置在诸如视频片段的媒体内容片段中。 该方法利用分类引擎来分析从视频片段提取的特征集的值，并且选择一个或多个类别的广告以放置在片段中。 分类引擎可以使用诸如历史视频段之类的训练数据进行训练，其中手动放置广告，并且使用测量过去广告布置在特定段中的有效性的性能数据。

公开(公告)号：US09116989B1

公开(公告)日：2015-08-25

申请号：US11319779

申请日：2005-12-29

Applicant: Patrick Ehlen ,  David C. Gibbon ,  Mazin Gilbert ,  Michael Johnston ,  Zhu Liu ,  Behzad Shahraray

Inventor： Patrick Ehlen ,  David C. Gibbon ,  Mazin Gilbert ,  Michael Johnston ,  Zhu Liu ,  Behzad Shahraray

IPC: G06F7/00 ,  G06F17/30

CPC classification number: G06F3/167 ,  G06F3/038 ,  G06F3/0481 ,  G06F3/0482 ,  G06F3/04842 ,  G06F3/04883 ,  G06F17/28 ,  G06F17/30029 ,  G06F17/30554 ,  G06F17/30864 ,  G06F17/30867 ,  G06F2203/0381 ,  G10L15/18

Abstract: There is provided for a system, method, and computer readable medium storing instructions related to controlling a presentation in a multimodal system. A method for the retrieval of information on the basis of its content for real-time incorporation into an electronic presentation is discussed. One method includes controlling a media presentation using a multimodal interface. The method involves receiving from a presenter a content-based request associated with a plurality of segments within a media presentation preprocessed for context-based searching; displaying the media presentation and displaying to the presenter results in response to the content-based request; receiving a selection from the presenter of at least one result; and displaying the selected result to an audience.

Abstract translation: 提供了一种用于存储与在多模式系统中控制呈现相关的指令的系统，方法和计算机可读介质。 讨论了一种基于其内容来检索信息以便实时并入到电子演示中的方法。 一种方法包括使用多模式界面来控制媒体呈现。 该方法包括从演示者接收与预处理用于基于上下文的搜索的媒体表现中的与多个片段相关联的基于内容的请求; 响应于基于内容的请求，向演示者显示媒体呈现和显示结果; 从演示者接收至少一个结果的选择; 并将所选结果显示给观众。

公开(公告)号：US08831941B2

公开(公告)日：2014-09-09

申请号：US11754800

申请日：2007-05-29

Applicant: Mazin Gilbert ,  Jay Wilpon

Inventor： Mazin Gilbert ,  Jay Wilpon

IPC: G10L19/00 ,  H04M3/00 ,  G10L17/00 ,  G06Q40/00 ,  H04M3/38 ,  G10L15/02

CPC classification number: G06Q20/40 ,  G06Q20/382 ,  G06Q40/00 ,  G10L15/02 ,  G10L15/08 ,  G10L17/00 ,  G10L17/005 ,  H04M3/38

Abstract: Disclosed are systems, methods, and computer readable media for comparing customer voice prints comprising of uncommonly spoken words with a database of known fraudulent voice signatures and continually updating the database to decrease the risk of identity theft. The method embodiment comprises comparing a received voice signal against a database of known fraudulent voice signatures, denying the caller's transaction if the voice signal substantially matches the database of known fraudulent voice signatures, adding the caller's voice signal to the database of known fraudulent voice signatures if the voice signal does not substantially match a separate speaker verification database and received additional information is not verified.

Abstract translation: 公开的是系统，方法和计算机可读介质，用于将包含不常用语音单词的客户语音输入与已知欺诈语音签名的数据库进行比较，并持续更新数据库以减少身份盗用的风险。 方法实施例包括将接收到的语音信号与已知欺诈性语音签名的数据库进行比较，如果语音信号基本上与已知欺诈性语音签名的数据库匹配，则拒绝主叫方的交易，如果呼叫者的话音信号加到已知的欺诈语音签名的数据库中， 语音信号基本上不匹配单独的扬声器验证数据库，并且未验证所接收的附加信息。

公开(公告)号：US08589146B2

公开(公告)日：2013-11-19

申请号：US12772580

申请日：2010-05-03

Applicant: Srinivas Bangalore ,  David Crawford Gibbon ,  Mazin Gilbert ,  Patrick Guy Haffner ,  Zhu Liu ,  Behzad Shahraray

Inventor： Srinivas Bangalore ,  David Crawford Gibbon ,  Mazin Gilbert ,  Patrick Guy Haffner ,  Zhu Liu ,  Behzad Shahraray

IPC: G06F17/28

CPC classification number: H04N21/4856 ,  G06F17/289 ,  G10L21/10 ,  H04N7/0885 ,  H04N7/17336 ,  H04N21/2355 ,  H04N21/2543 ,  H04N21/25435 ,  H04N21/4355 ,  H04N21/440236 ,  H04N21/4882 ,  H04N21/4884 ,  H04N21/8193

Abstract: A method, a system and a machine-readable medium are provided for an on demand translation service. A translation module including at least one language pair module for translating a source language to a target language may be made available for use by a subscriber. The subscriber may be charged a fee for use of the requested on demand translation service or may be provided use of the on demand translation service for free in exchange for displaying commercial messages to the subscriber. A video signal may be received including information in the source language, which may be obtained as text from the video signal and may be translated from the source language to the target language by use of the translation module. Translated information, based on the translated text, may be added into the received video signal. The video signal including the translated information in the target language may be sent to a display device.

Abstract translation: 为按需翻译服务提供方法，系统和机器可读介质。 包括用于将源语言翻译成目标语言的至少一个语言对模块的翻译模块可以被用户使用。 用户可能会收取使用所请求的按需翻译服务的费用，或者可以免费使用按需翻译服务，以便向用户显示商业消息。 可以接收包括源语言的信息的视频信号，其可以从视频信号获取为文本，并且可以通过使用翻译模块从源语言翻译成目标语言。 基于翻译文本的翻译信息可以被添加到接收的视频信号中。 可以将包括目标语言的翻译信息的视频信号发送到显示装置。