公开(公告)号：US20190019278A1

公开(公告)日：2019-01-17

申请号：US16132802

申请日：2018-09-17

Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.

Inventor： David Crawford Gibbon ,  Benjamin J. Stern ,  Zhu Liu ,  Eric Zavesky

IPC: G06T5/00 ,  G06K9/62 ,  G06K9/00 ,  G06K9/46

Abstract: A method includes capturing a first image via a camera of an electronic device using a first set of image capture parameters. The method includes identifying a first object in the first image based on an object recognition model. The method includes sending first image data to a server. The first image data includes first information associated with the first object. The method includes capturing a second image via the camera using a second set of image capture parameters. The method includes identifying a second object in the second image based on the object recognition model. The method includes sending second image data to the server. The second image data includes second information associated with the second object. The method also includes receiving location information from the server. The location information is determined by the server based on the first information and the second information.

公开(公告)号：US09773498B2

公开(公告)日：2017-09-26

申请号：US15366292

申请日：2016-12-01

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Benjamin J. Stern ,  Enrico Luigi Bocchieri ,  Alistair D. Conkie ,  Danilo Giulianelli

IPC: G10L15/183 ,  G10L15/30 ,  G10L15/22

CPC classification number: G10L15/183 ,  G10L15/22 ,  G10L15/30 ,  G10L2015/228

Abstract: Disclosed herein are systems, methods, and computer-readable storage devices for fetching speech processing models based on context changes in advance of speech requests using the speech processing models. An example local device configured to practice the method, having a local speech processor, and having access to remote speech models, detects a change in context. The change in context can be based on geographical location, language translation, speech in a different language, user language settings, installing or removing an app, and so forth. The local device can determine a speech processing model that is likely to be needed based on the change in context, and that is not stored on the local device. Independently of an explicit request to process speech, the local device can retrieve, from a remote server, the speech processing model for use on the mobile device.

公开(公告)号：US09530416B2

公开(公告)日：2016-12-27

申请号：US14064579

申请日：2013-10-28

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Benjamin J. Stern ,  Enrico Luigi Bocchieri ,  Alistair D. Conkie ,  Danilo Giulianelli

IPC: G10L15/30 ,  G10L15/183 ,  G10L15/22

CPC classification number: G10L15/183 ,  G10L15/22 ,  G10L15/30 ,  G10L2015/228

Abstract: Disclosed herein are systems, methods, and computer-readable storage devices for fetching speech processing models based on context changes in advance of speech requests using the speech processing models. An example local device configured to practice the method, having a local speech processor, and having access to remote speech models, detects a change in context. The change in context can be based on geographical location, language translation, speech in a different language, user language settings, installing or removing an app, and so forth. The local device can determine a speech processing model that is likely to be needed based on the change in context, and that is not stored on the local device. Independently of an explicit request to process speech, the local device can retrieve, from a remote server, the speech processing model for use on the mobile device.

Abstract translation: 本文公开了用于基于使用语音处理模型的语音请求之前的上下文改变来提取语音处理模型的系统，方法和计算机可读存储设备。 被配置为实施具有本地语音处理器并具有对远程语音模型的访问的方法的示例性本地设备检测上下文中的改变。 上下文的变化可以基于地理位置，语言翻译，以不同语言的语言，用户语言设置，安装或移除应用程序等等。 本地设备可以基于上下文的改变来确定可能需要的语音处理模型，并且不存储在本地设备上。 独立于显式请求处理语音，本地设备可以从远程服务器检索在移动设备上使用的语音处理模型。

公开(公告)号：US20140317706A1

公开(公告)日：2014-10-23

申请号：US14324555

申请日：2014-07-07

Applicant: AT&T Intellectual Property I, L.P.

Inventor： PRADEEP K. BANSAL ,  Lee Begeja ,  Carroll W. Creswell ,  Jeffrey Farah ,  Benjamin J. Stern ,  Jay Wilpon

IPC: H04L29/06

CPC classification number: H04L63/102 ,  G06F17/30864 ,  G06Q10/10 ,  H04L63/0414 ,  H04L67/104

Abstract: A trust propagation system is disclosed that propagates trust data based on established trust relationships. The trust system may automatically propagate trust data between parties A and C based on trust relationships with a common party B. Trust data may include authentication data such as biometric data, encryption data, passwords, etc. that may be used to conduct exclusive communications.

Abstract translation: 公开了一种基于建立的信任关系传播信任数据的信任传播系统。 信任系统可以基于与公共方B的信任关系自动地在各方A和C之间传播信任数据。信任数据可以包括可用于进行独占通信的认证数据，例如生物特征数据，加密数据，密码等。

公开(公告)号：US11335320B2

公开(公告)日：2022-05-17

申请号：US16909267

申请日：2020-06-23

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Benjamin J. Stern ,  Mark Charles Beutnagel ,  Alistair D. Conkie ,  Horst J. Schroeter ,  Amanda Joy Stent

IPC: G10L13/04 ,  G10L13/07 ,  G10L13/047

Abstract: Systems, methods, and computer-readable storage media for intelligent caching of concatenative speech units for use in speech synthesis. A system configured to practice the method can identify speech units that are required for synthesizing speech. The system can request from a server the text-to-speech unit needed to synthesize the speech. The system can then synthesize speech using text-to-speech units already stored and a received text-to-speech unit from the server.

公开(公告)号：US10699694B2

公开(公告)日：2020-06-30

申请号：US16195066

申请日：2018-11-19

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Benjamin J. Stern ,  Mark Charles Beutnagel ,  Alistair D. Conkie ,  Horst J. Schroeter ,  Amanda Joy Stent

IPC: G10L13/04 ,  G10L13/07 ,  G10L13/047

Abstract: Systems, methods, and computer-readable storage media for intelligent caching of concatenative speech units for use in speech synthesis. A system configured to practice the method can identify speech units that are required for synthesizing speech. The system can request from a server the text-to-speech unit needed to synthesize the speech. The system can then synthesize speech using text-to-speech units already stored and a received text-to-speech unit from the server.

公开(公告)号：US09761218B2

公开(公告)日：2017-09-12

申请号：US14953771

申请日：2015-11-30

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Benjamin J. Stern ,  Mark Charles Beutnagel ,  Alistair D. Conkie ,  Horst J. Schroeter ,  Amanda Joy Stent

IPC: G10L13/07 ,  G10L13/04 ,  G10L13/047

CPC classification number: G10L13/04 ,  G10L13/047 ,  G10L13/07

Abstract: Systems, methods, and computer-readable storage media for intelligent caching of concatenative speech units for use in speech synthesis. A system configured to practice the method can identify, in a local cache of text-to-speech units for a text-to-speech voice an absent text-to-speech unit which is not in the local cache. The system can request from a server the absent text-to-speech unit. The system can then synthesize speech using the text-to-speech units and a received text-to-speech unit from the server.

公开(公告)号：US20160163029A1

公开(公告)日：2016-06-09

申请号：US14561353

申请日：2014-12-05

Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.

Inventor： David Crawford Gibbon ,  Benjamin J. Stern ,  Zhu Liu ,  Eric Zavesky

IPC: G06T5/00 ,  G06K9/00

CPC classification number: G06T5/009 ,  G06K9/00221 ,  G06K9/00288 ,  G06K9/00664 ,  G06K9/6255 ,  G06K2009/4666 ,  G06K2207/1012 ,  G06T2207/20208

Abstract: A method includes receiving first image data at an electronic device, and performing a first image recognition operation on the first image data based on a first image recognition model stored in a memory of the electronic device. The method may include sending an image recognition model update request from the electronic device to a server, in response to determining that a result of the first image recognition operation fails to satisfy a confidence threshold. The method includes receiving image recognition model update information from the server and updating the first image recognition model based on the image recognition model update information to generate a second image recognition model. The method further includes performing a second image recognition operation based on the second image recognition model.

Abstract translation: 一种方法包括在电子设备处接收第一图像数据，并且基于存储在电子设备的存储器中的第一图像识别模型对第一图像数据执行第一图像识别操作。 响应于确定第一图像识别操作的结果不能满足置信阈值，该方法可以包括从电子设备向服务器发送图像识别模型更新请求。 该方法包括从服务器接收图像识别模型更新信息，并且基于图像识别模型更新信息更新第一图像识别模型以生成第二图像识别模型。 该方法还包括基于第二图像识别模型执行第二图像识别操作。

公开(公告)号：US20140157384A1

公开(公告)日：2014-06-05

申请号：US13886299

申请日：2013-05-03

Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.

Inventor： Benjamin J. Stern ,  Jay Wilpon

IPC: H04L29/06

CPC classification number: H04L63/0861 ,  G06F17/30867 ,  G06F21/32 ,  H04L63/0853

Abstract: A biometric authentication system is disclosed that provides a trusted third party biometric authentication capability for independent confirmation of identity of parties. A repository of biometric templates for registered parties is disclosed that permit a biometric authenticator to perform independent authentication services for other parties by matching received biometric information against biometric information in the repository, or by providing requested biometric information.

Abstract translation: 公开了一种生物特征认证系统，其提供可信赖的第三方生物认证能力，用于对各方的身份进行独立确认。 公开了一种用于注册方的生物识别模板的存储库，其允许生物特征鉴别器通过将接收到的生物特征信息与存储库中的生物特征信息进行匹配或通过提供所请求的生物特征信息来为其他方执行独立的认证服务。

公开(公告)号：US10134383B2

公开(公告)日：2018-11-20

申请号：US15699616

申请日：2017-09-08

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Benjamin J. Stern ,  Mark Charles Beutnagel ,  Alistair D. Conkie ,  Horst J. Schroeter ,  Amanda Joy Stent

IPC: G10L13/04 ,  G10L13/07 ,  G10L13/047

Abstract: Systems, methods, and computer-readable storage media for intelligent caching of concatenative speech units for use in speech synthesis. A system configured to practice the method can identify, in a local cache of text-to-speech units for a text-to-speech voice an absent text-to-speech unit which is not in the local cache. The system can request from a server the absent text-to-speech unit. The system can then synthesize speech using the text-to-speech units and a received text-to-speech unit from the server.