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 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

In one aspect, the present invention facilitates the investigation of networks of criminals, by gathering associations between phone numbers, the names of persons reached at those phone numbers, and voice print data. In another aspect the invention automatically detects phone calls from a prison where the voiceprint of the person called matches the voiceprint of a past inmate. In another aspect the invention detects identity scams in prisons, by monitoring for known voice characteristics of likely imposters on phone calls made by prisoners. In another aspect, the invention automatically does speech-to-text conversion of phone numbers spoken within a predetermined time of detecting data indicative of a three-way call event while monitoring a phone call from a prison inmate. In another aspect, the invention automatically thwarts attempts of prison inmates to use re-dialing services. In another aspect, the invention automatically tags audio data retrieved from a database, by steganographically encoding into the audio data the identity of the official retrieving the audio data.

Multi-party conversation analyzer & logger

A method for providing information to a plurality of vendors located remotely from a broadcast network. A plurality of user-defined parameters are received by a user input database with at least one of the user-defined parameters including a user profile. Each of the user profiles includes a user identifier code identifying a communicator device associated with a particular user. Real-time data indicative of the spatial locations of the communicator devices is received by a communicator location database. Search information is received independently from a plurality of vendors and a data set is generated for each vendor.

Interactive advisory system

A method and apparatus are provided for building an intelligent automated assistant. Embodiments of the present invention rely on the concept of “active ontologies” (e.g., execution environments constructed in an ontology-like manner) to build and run applications for use by intelligent automated assistants. In one specific embodiment, a method for building an automated assistant includes interfacing a service-oriented architecture that includes a plurality of remote services to an active ontology, where the active ontology includes at least one active processing element that models a domain. At least one of the remote services is then registered for use in the domain.

Method and apparatus for building an intelligent automated assistant

The present solution includes a method for dynamically translating application prompts to internationalize software applications for a non-native language that is not specifically supported by the application. In the solution, application prompts can be identified that are associated with a software application. Each application prompt can include text written in an original language. An attempt of the software application to render one of the application prompts can be intercepted and dynamically translated. The translated text can be substituted for the original text. The application prompt can then be rendered.

Dynamically translating a software application to a user selected target language that is not natively provided by the software application

The present invention discloses a solution for customizing synthetic voice characteristics in a user specific fashion. The solution can establish a communication between a user and a voice response system. A data store can be searched for a speech profile associated with the user. When a speech profile is found, a set of speech output characteristics established for the user from the profile can be determined. Parameters and settings of a text-to-speech engine can be adjusted in accordance with the determined set of speech output characteristics. During the established communication, synthetic speech can be generated using the adjusted text-to-speech engine. Thus, each detected user can hear a synthetic speech generated by a different voice specifically selected for that user. When no user profile is detected, a default voice or a voice based upon a user's speech or communication details can be used.

Dynamic modification of voice selection based on user specific factors

The present invention discloses a solution for assuring user-defined voice commands are unambiguous. The solution can include a step of identifying a user attempt to enter a user-defined voice command into a voice-enabled system. A safety analysis can be performed on the user-defined voice command to determine a likelihood that the user-defined voice command will be confused with preexisting voice commands recognized by the voice-enabled system. When a high likelihood of confusion is determined by the safety analysis, a notification can be presented that the user-defined voice command is subject to confusion. A user can then define a different voice command or can choose to continue to use the potentially confusing command, possibly subject to a system imposed confusion mitigating condition or action.

Performing a safety analysis for user-defined voice commands to ensure that the voice commands do not cause speech recognition ambiguities

A telecommunication method comprising: a sending device (110) operating in a first communication mode initializing a communication to a receiving device (120) operating in a second communication mode,- querying the receiving device to automatically determine that the receiving device is operating in the second communication mode; responsive to said querying step, establishing said communication, wherein said sending device communicates in said first communication mode, and wherein said receiving device communicates in said second communication mode; and during said communication, automatically changing a format of messages conveyed between the sending device and the receiving device in accordance with the first communication mode and the second communication mode.

Communications between devices having different communication modes

A software method for allocating application tasks between a client and a server can include the step of detecting client-based computing resources for executing at least one application task. At least one indicator of the detected client-based computing resources can be conveyed to a remotely located application server, the application server can determine whether to allocate at least one application task to the client or to a server component based upon at least one indicator.

Ciprian Agapi

Papers

Dynamically translating a software application to a user selected target language that is not natively provided by the software application

Dynamic modification of voice selection based on user specific factors

Performing a safety analysis for user-defined voice commands to ensure that the voice commands do not cause speech recognition ambiguities

Communications between devices having different communication modes

Client / server application task allocation based upon client resources