公开(公告)号：US20090234812A1

公开(公告)日：2009-09-17

申请号：US12075581

申请日：2008-03-12

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

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

IPC: G06F17/30

CPC classification number: G06F17/30864

Abstract: A system and method are provided for augmenting information on business directory databases and communicating with businesses is disclosed. Using the enriched business directory database and Web mining technology, customized email message are sent inviting businesses to enter their enriched business information into the directory or even subscribe to other paid services provided by the directory service.

Abstract translation: 提供了一种用于增加业务目录数据库信息的系统和方法，并且与业务通信被公开。 使用丰富的业务目录数据库和Web挖掘技术，发送定制的电子邮件消息，邀请企业将其丰富的业务信息输入目录，甚至订阅目录服务提供的其他付费服务。

公开(公告)号：US20080300877A1

公开(公告)日：2008-12-04

申请号：US11754800

申请日：2007-05-29

Applicant: Mazin Gilbert ,  Jay Wilpon

Inventor： Mazin Gilbert ,  Jay Wilpon

IPC: G10L15/00

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 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: 公开了系统，方法和计算机可读介质，用于将客户语音印刷品与已知欺诈性语音签名的数据库进行比较，并持续更新数据库以降低身份盗用的风险。 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：US20070280215A1

公开(公告)日：2007-12-06

申请号：US11444882

申请日：2006-05-31

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

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

IPC: H04L12/66

CPC classification number: H04L29/06027 ,  H04L65/1069 ,  H04N21/234318 ,  H04N21/235 ,  H04N21/2542 ,  H04N21/435 ,  H04N21/44222 ,  H04N21/47202 ,  H04N21/4725 ,  H04N21/4788 ,  H04N21/643 ,  H04N21/812

Abstract: A method and apparatus for providing a click-to-talk service for advertisements carried over packet networks such as digital cable networks, Voice over Internet Protocol (VoIP) and Service over Internet Protocol (SoIP) networks are disclosed. For example, an enterprise customer subscribes to a service with a service provider that provides a click-to-talk feature with its advertisements on television channels. In one embodiment, the network service provider obtains meta-information from a video content and transmits the meta-information and the video content to a set-top box. The network service provider also enables consumers while viewing the advertisements to click on their remote control to initiate a call to talk to the advertising enterprise entity. Thus, when the consumer clicks-to-talk to the enterprise entity, the network service provider enables the consumer to reach the enterprise entity immediately.

Abstract translation: 公开了一种用于为诸如数字有线网络，因特网协议语音（VoIP）和因特网协议（SoIP）网络之类的分组网络承载的广播提供点击通话服务的方法和装置。 例如，企业客户与服务提供商订阅服务，该服务提供商在电视频道上向其广告提供点击通话功能。 在一个实施例中，网络服务提供商从视频内容获取元信息，并将元信息和视频内容发送到机顶盒。 网络服务提供商还可以在查看广告时使消费者点击他们的遥控器以发起与广告企业实体通话的呼叫。 因此，当消费者与企业实体点击通话时，网络服务提供商使消费者能够立即到达企业实体。

公开(公告)号：US20070244688A1

公开(公告)日：2007-10-18

申请号：US11279852

申请日：2006-04-14

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

Inventor： Srinivas Bangalore ,  David Gibbon ,  Mazin Gilbert ,  Patrick 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转换为目标语言。 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。 可以将包含目标语言的翻译信息的视频信号发送到显示装置。

公开(公告)号：US20070033004A1

公开(公告)日：2007-02-08

申请号：US11188825

申请日：2005-07-25

Applicant: Srinivas Bangalore ,  Mazin Gilbert ,  Narendra Gupta

Inventor： Srinivas Bangalore ,  Mazin Gilbert ,  Narendra Gupta

IPC: G06F17/27

CPC classification number: G10L15/183 ,  G06F17/2818 ,  G10L15/14 ,  G10L15/19

Abstract: Disclosed herein are systems and methods to incorporate human knowledge when developing and using statistical models for natural language understanding. The disclosed systems and methods embrace a data-driven approach to natural language understanding which progresses seamlessly along the continuum of availability of annotated collected data, from when there is no available annotated collected data to when there is any amount of annotated collected data.

Abstract translation: 这里公开的是在开发和使用自然语言理解的统计模型时将人类知识结合在一起的系统和方法。 所公开的系统和方法包含一种数据驱动的自然语言理解方法，其从注释收集的数据的可用性的连续性无缝地进行，从没有可用的注释收集的数据到当有任何数量的注释收集的数据时。

公开(公告)号：US08977965B1

公开(公告)日：2015-03-10

申请号：US11207439

申请日：2005-08-19

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

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

IPC: G06F3/00

CPC classification number: G06F3/167 ,  G06F3/038 ,  G06F3/0482 ,  G06F3/0483 ,  G06F3/04842 ,  G06F2203/0381

Abstract: The invention provides for a system, method, and computer readable medium storing instructions related to controlling a presentation in a multimodal system. The method embodiment of the invention is a method for the retrieval of information on the basis of its content for real-time incorporation into an electronic presentation. The method comprises receiving from a presenter a content-based request for at least one segment of a first plurality of segments within a media presentation and while displaying the media presentation to an audience, displaying to the presenter a second plurality of segments in response to the content-based request. The computing device practicing the method receives a selection from the presenter of a segment from the second plurality of segments and displays to the audience the selected segment.

Abstract translation: 本发明提供了一种系统，方法和计算机可读介质，其存储与在多模式系统中控制演示有关的指令。 本发明的方法实施例是一种用于基于其内容来检索信息以便实时并入到电子呈现中的方法。 所述方法包括从演示者接收基于内容的对媒体呈现内的第一多个片段的至少一个片段的请求，并且在向观众显示媒体呈现的同时，向演示者显示响应于第 基于内容的请求。 实施该方法的计算设备从第二多个段接收来自段的演示者的选择，并向观众显示所选择的段。

公开(公告)号：US08738375B2

公开(公告)日：2014-05-27

申请号：US13103665

申请日：2011-05-09

Applicant: Andrej Ljolje ,  Diamantino Antonio Caseiro ,  Mazin Gilbert ,  Vincent Goffin ,  Taniya Mishra

Inventor： Andrej Ljolje ,  Diamantino Antonio Caseiro ,  Mazin Gilbert ,  Vincent Goffin ,  Taniya Mishra

IPC: G10L15/26

CPC classification number: G10L15/197 ,  G10L15/063 ,  G10L15/22

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for assigning saliency weights to words of an ASR model. The saliency values assigned to words within an ASR model are based on human perception judgments of previous transcripts. These saliency values are applied as weights to modify an ASR model such that the results of the weighted ASR model in converting a spoken document to a transcript provide a more accurate and useful transcription to the user.

Abstract translation: 这里公开了用于将显着权重分配给ASR模型的单词的系统，方法和非暂时计算机可读存储介质。 分配给ASR模型中的单词的显着性值基于以前的成绩单的人类感知判断。 这些显着性值被用作权重以修改ASR模型，使得将口头文档转换成抄本的加权ASR模型的结果为用户提供更准确和有用的转录。

公开(公告)号：US08571857B2

公开(公告)日：2013-10-29

申请号：US12908222

申请日：2010-10-20

Applicant: John Mocenigo ,  Mazin Gilbert ,  Heather Wighton

Inventor： John Mocenigo ,  Mazin Gilbert ,  Heather Wighton

IPC: G10L15/00

CPC classification number: G10L15/063 ,  G10L2015/0638

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for generating a model for use with automatic speech recognition. These principles can be implemented as part of a streamlined tool for automatic training and tuning of speech, or other, models with a fast turnaround and with limited human involvement. A system configured to practice the method receives, as part of a request to generate a model, input data and a seed model. The system receives a cost function indicating accuracy and at least one of speed and memory usage, The system processes the input data based on seed model and based on parameters that optimize the cost function to yield an updated model, and outputs the updated model.

Abstract translation: 这里公开了用于生成用于自动语音识别的模型的系统，方法和非暂时的计算机可读存储介质。 这些原则可以作为精简工具的一部分，用于自动训练和调整语音或其他模型，具有快速的周转时间和人力参与有限。 配置为练习该方法的系统作为生成模型的请求的一部分接收输入数据和种子模型。 系统接收指示精度和速度和存储器使用中的至少一个的成本函数。系统基于种子模型处理输入数据，并且基于优化成本函数以产生更新模型的参数，并输出更新的模型。

公开(公告)号：US08406382B2

公开(公告)日：2013-03-26

申请号：US13292436

申请日：2011-11-09

Applicant: Mazin Gilbert

Inventor： Mazin Gilbert

IPC: H04M1/64 ,  H04L9/00 ,  G06Q30/00 ,  G10L19/00

CPC classification number: H04M3/4936 ,  G10L17/04 ,  G10L17/14 ,  H04M3/385 ,  H04M3/42221 ,  H04M3/51 ,  H04M2201/36 ,  H04M2201/41 ,  H04M2203/6045

Abstract: A method includes registering a voice of a party in order to provide voice verification for communications with an entity. A call is received from a party at a voice response system. The party is prompted for information and verbal communication spoken by the party is captured. A voice model associated with the party is created by processing the captured verbal communication spoken by the party and is stored. The identity of the party is verified and a previously stored voice model of the party, registered during a previous call from the party, is updated. The creation of the voice model is imperceptible to the party.

Abstract translation: 一种方法包括登记一方的声音以便为与实体的通信提供语音验证。 从语音响应系统的一方接收到呼叫。 党被提示信息和党的口头沟通被捕获。 与派对相关联的语音模型是通过处理由该方所说出的所捕获的口头通信来存储的。 验证方的身份，并更新先前存储的在该方的先前呼叫中注册的该方的语音模型。 声音模式的创建是党无法察觉的。

公开(公告)号：US08296141B2

公开(公告)日：2012-10-23

申请号：US12274025

申请日：2008-11-19

Applicant: Mazin Gilbert ,  Alistair D. Conkie ,  Andrej Ljolje

Inventor： Mazin Gilbert ,  Alistair D. Conkie ,  Andrej Ljolje

IPC: G10L15/04

CPC classification number: G10L15/063 ,  G10L2015/025

Abstract: Disclosed herein are systems, computer-implemented methods, and computer-readable media for speech recognition. The method includes receiving speech utterances, assigning a pronunciation weight to each unit of speech in the speech utterances, each respective pronunciation weight being normalized at a unit of speech level to sum to 1, for each received speech utterance, optimizing the pronunciation weight by (1) identifying word and phone alignments and corresponding likelihood scores, and (2) discriminatively adapting the pronunciation weight to minimize classification errors, and recognizing additional received speech utterances using the optimized pronunciation weights. A unit of speech can be a sentence, a word, a context-dependent phone, a context-independent phone, or a syllable. The method can further include discriminatively adapting pronunciation weights based on an objective function. The objective function can be maximum mutual information (MMI), maximum likelihood (MLE) training, minimum classification error (MCE) training, or other functions known to those of skill in the art. Speech utterances can be names. The speech utterances can be received as part of a multimodal search or input. The step of discriminatively adapting pronunciation weights can further include stochastically modeling pronunciations.

Abstract translation: 本文公开了用于语音识别的系统，计算机实现的方法和计算机可读介质。 该方法包括接收语音话语，在语音话语中为每个语音单元分配发音权重，将每个相应的发音权重以语音级别为单位归一化为1，对于每个接收到的语音话语，通过（ 1）识别词和电话对齐和相应的可能性分数，以及（2）歧视地调整发音权重以最小化分类错误，以及使用优化的发音权重来识别附加的接收到的语音话语。 语音单位可以是句子，单词，上下文相关的电话，与上下文无关的电话或音节。 该方法还可以包括基于目标函数的歧视地适应发音权重。 目标函数可以是本领域技术人员已知的最大相互信息（MMI），最大似然（MLE）训练，最小分类误差（MCE）训练或其他功能。 言语言可以是名字。 可以作为多模态搜索或输入的一部分接收演讲话语。 歧视性地适应发音权重的步骤还可以包括随机建模发音。