An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

Intelligent Automated Assistant

A computer-based virtual assistant includes a virtual assistant application running on a computer capable of receiving human voice communications from a user of a remote user interface and transmitting a vocalization to the remote user interface, the virtual assistant application enabling the user to access email and voicemail messages of the user, the virtual assistant application selecting a responsive action to a verbal query or instruction received from the remote user interface and transmitting a vocalization characterizing the selected responsive action to the remote user interface, and the virtual assistant waiting a predetermined period of time, and if no canceling indication is received from the remote user interface, proceeding to perform the selected responsive action, and if a canceling indication is received from the remote user interface halting the selected responsive action and transmitting a new vocalization to the remote user interface. Also a method of using the virtual assistant.

Personal Virtual Assistant

Integrated imaging and GPS network monitors remote object movement. Browser interface displays objects and detectors. Database stores object position movement. Cameras detect objects and generate image signal. Internet provides selectable connection between system controller and various cameras according to object positions.

Integrated network for monitoring remote objects

A document delivery architecture dynamically generates a private Uniform Resource Locator (URL) to distribute information. Each private URL (“PURL”) uniquely identifies an intended recipient of a document, the document or set of documents to be delivered, and (optionally) other parameters specific to the delivery process. The intended recipient of a document uses the PURL to retrieve the document. The server, upon retrieval of the document, customizes the behavior of the retrieval based upon attributes included in the PURL, as well as log information associated with the retrieval in a data base. This architecture and usage of PURLs enables secure document delivery and tracking of document receipt.

Private, trackable URLs for directed document delivery

A virtual assistant uses context information to supplement natural language or gestural input from a user. Context helps to clarify the user's intent and to reduce the number of candidate interpretations of the user's input, and reduces the need for the user to provide excessive clarification input. Context can include any available information that is usable by the assistant to supplement explicit user input to constrain an information-processing problem and/or to personalize results. Context can be used to constrain solutions during various phases of processing, including, for example, speech recognition, natural language processing, task flow processing, and dialog generation.

Using context information to facilitate processing of commands in a virtual assistant

A system and method provides universal access to voice-based documents containing information formatted using MIME and HTML standards using customized extensions for voice information access and navigation. These voice documents are linked using HTML hyper-links that are accessible to subscribers using voice commands, touch-tone inputs and other selection means. These voice documents and components in them are addressable using HTML anchors embedding HTML universal resource locators (URLs) rendering them universally accessible over the Internet. This collection of connected documents forms a voice web. The voice web includes subscriber-specific documents including speech training files for speaker dependent speech recognition, voice print files for authenticating the identity of a user and personal preference and attribute files for customizing other aspects of the system in accordance with a specific subscriber.

Premkumar V. Uppaluru

Papers

System and method for providing and using universally accessible voice and speech data files