At&t Intellectual Property I, L.p.

At+t Corp.

Other

Hyundai Motor Company

Facebook, Inc.

Kia Corporation

Benjamin J Stern

Lee Begeja

Jay Gordon Wilpon

Jeffrey Joseph Farah

Pradeep K Bansal

Carroll W Creswell

Narendra Kumar Gupta

Alistair D Conkie

Giuseppe Di Fabbrizio

Horst Juergen Schroeter

Mark Charles Beutnagel

Amanda Joy Stent

John Gerow Ramage

Rajesh Kapadia

Eric Martin Zavesky

David Crawford Gibbon

Bernard S Renger

Zhu Liu

Mazin E Gilbert

Mazin G Rahim

Randy Glen Goldberg

Richard R Rosinski

Deborah W Brown

Stephen Michael Marcus

Enrico Bocchieri

Shona Douglas

Tirso M Alonso

Danilo Giulianelli

Ganesh K Subramaniam

Kenneth H Rosen

Richard Vandervoort Cox

Sarangarajan Parthasarathy

Lynne Shapiro Brotman

Daniel Selig Furman

Charles Alfred Lewis

Steven G Lanning

Bernard S L Renger

James M Farber

Edward Chapman Durkee

Aspects of the subject disclosure may include, for example, receiving first image data for a first image from an electronic device, the first image data including first information associated with a first object identified by the electronic device as being in the first image. Second image data for a second image is received from the electronic device subsequent to receiving the first image data. The second image data includes second information associated with a second object identified by the electronic device as being in the second image. Location information is determined based on the first information and the second information and sent to the electronic device. Other embodiments are disclosed.

Dynamic image recognition model updates

A biometric authentication system is disclosed that provides authentication capability using biometric data in connection with a challenge for parties engaging in digital communications such as digital text-oriented, interactive digital communications. End-user systems may be coupled to devices that include biometric data capture devices such as retina scanners, fingerprint recorders, cameras, microphones, ear scanners, DNA profilers, etc., so that biometric data of a communicating party may be captured and used for authentication purposes.

Identity challenges

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.

System and method for distributed voice models across cloud and device for embedded text-to-speech

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.

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.

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.

Systems, methods, and programs for generating an authorized profile for a text communication device or account, may sample a text communication generated by the text communication device or account during communication and may store the text sample. The systems, methods, and programs may extract a language pattern from the stored text sample and may create an authorized profile based on the language pattern. Systems, methods, and programs for detecting unauthorized use of a text communication device or account may sample a text communication generated by the device or account during communication, may extract a language pattern from the audio sample, and may compare extracted language pattern of the sample with an authorized user profile.

Systems, methods and programs for detecting unauthorized use of text based communications services

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.

Biometric authentication

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.

System and method for managing models for embedded speech and language processing

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.

Digital social network trust propagation

Disclosed are systems, methods and computer-readable media for enabling speech processing in a user interface of a device. The method includes receiving an indication of a field and a user interface of a device, the indication also signaling that speech will follow, receiving the speech from the user at the device, the speech being associated with the field, transmitting the speech as a request to public, common network node that receives and processes speech, processing the transmitted speech and returning text associated with the speech to the device and inserting the text into the field. Upon a second indication from the user, the system processes the text in the field as programmed by the user interface. The present disclosure provides a speech mash up application for a user interface of a mobile or desktop device that does not require expensive speech processing technologies.

System and method of providing speech processing in user interface

Growing community of inventors

Morris Township, NJ, United States of America

Benjamin J Stern