91 results about "Dialog manager" patented technology

A dialogue system and a method for the same are disclosed. The dialogue system includes a multimodal input unit receiving speech and non-speech information of a user, a domain reasoner, which stores a plurality of pre-stored situations, each of which is formed by a combination one or more speech and non-speech information, calculating each adaptability of the pre-stored situations on the basis of a generated situation based on the speech and the non-speech information received from the multimodal input unit, and determining a current domain according to the calculated adaptability, a dialogue manager to select a response corresponding to the current domain, and a multimodal output unit to output the response. The dialogue system performs domain reasoning using a situation including information combinations reflected in the domain reasoning process, current information, and a speech recognition result, and reduces the size of a dialogue search space while increasing domain reasoning accuracy.

A method for managing spoken language interface data structures and collections of user interface service engines in a spoken language dialog manager in a personal speech assistant. Interfaces, designed as part of applications, may by these methods be added to or removed from the set of such interfaces used by a dialog manager. Interface service engines, required by new applications, but not already present in the dialog manager, may be made available to the new and subsequently added applications.

A system and method for multi-level distributed speech recognition includes a terminal (122) having a terminal speech recognizer (136) coupled to a microphone (130). The terminal speech recognizer (136) receives an audio command (37), generating at least one terminal recognized audio command having a terminal confidence value. A network element (124) having at least one network speech recognizer (150) also receives the audio command (149), generating a at least one network recognized audio command having a network confidence value. A comparator (152) receives the recognized audio commands, comparing compares the speech recognition confidence values. The comparator (152) provides an output (162) to a dialog manager (160) of at least one recognized audio command, wherein the dialog manager then executes an operation based on the at least one recognized audio command, such as presenting the at least one recognized audio command to a user for verification or accessing a content server.

A system and method of the present invention for determining and maintaining dialog focus in a conversational speech system includes presenting a command associated with an application to a dialog manager. The application associated with the command is unknown to the dialog manager at the time it is made. The dialog manager determines a current context of the command by reviewing a multi-modal history of events. At least one method is determined responsive to the command based on the current context. The at least one method is executed responsive to the command associated with the application.

A method and apparatus for selective distributed speech recognition includes an embedded speech recognition engine (104) and a dialog manager (102), such as a browser, coupled to the embedded speech recognition engine (104). The method and apparatus further includes the dialog manager (102) being operably couple able to at least one external speech recognition engine (106), such as a WLAN speech recognition engine (108) or a network speech recognition engine (110). The method and apparatus further includes preference information (114), environment information (112) and a speech input (116) all provided to the dialog manager (102). The dialog manager (102), in response to the preference information (114) and the environment information (112), provides the speech input (116) to the embedded speech recognition engine (104), the WLAN speech recognition engine (108) or the network speech recognition engine (110).

An apparatus and method for selective distributed speech recognition includes a dialog manager (104) that is capable of receiving a grammar type indicator (170). The dialog manager (104) is capable of being coupled to an external speech recognition engine (108), which may be disposed on a communication network (142). The apparatus and method further includes an audio receiver (102) coupled to the dialog manager (104) wherein the audio receiver (104) receives a speech input (110) and provides an encoded audio input (112) to the dialog manager (104). The method and apparatus also includes an embedded speech recognition engine (106) coupled to the dialog manager (104), such that the dialog manager (104) selects to distribute the encoded audio input (112) to either the embedded speech recognition engine (106) or the external speech recognition engine (108) based on the corresponding grammar type indicator (170).

A one-step correction mechanism for voice interaction is provided. Correction of a previous state is enabled simultaneously with recognition in a current or subsequent state. An application is decomposed into a set of tasks. Each task is associated with the collection of one piece of information. Each task may be in a different state. At any point during the interaction, while a task / state pair is active, the dialog manager may enable multiple other task / state pairs to be active in latent fashion. The application developer may then use those facilities or resources to the active task / state and the latent task / state pairs depending on contextual condition of the interaction state of the application.

A dialog management system functions to manage the dialog between a user of a computer system and one or more speech enabled software applications. The user provides spoken input to a microphone connected to the computer system, and hears responses from one or more applications through a speaker connected to the computer system. The dialog management system includes a dialog manager, a turn manager, a speak queue, dialog contexts, and dialog state. The dialog manager provides top-level control of the dialog and stores responses based on the user's spoken input in a speak queue for later output to the user. The turn manager controls delivery of the responses to the user based on the dialog context and the dialog state, to provide a polite dialog with the user that enables the user to be in control of the dialog. The dialog context provides information about each dialog. The dialog state provides information about whose turn it is (computer or user) to speak.

A user authentication system includes a dialogue manager adapted to prompt the user with multiple, selectable pass-phrases. A selection recognizer recognizes user selection of at least one of the multiple, selectable pass-phrases. A user identity analysis module analyzes one or more potential user identities based on adherence of user selection of the pass-phrase to predetermined pass-phrase selection criteria assigned one or more enrolled users.

A system and method for providing conversational computing via a protocol for automatic dialog management and arbitration between a plurality of conversational applications, and a framework for supporting such protocol, in a multi-modal and / or multi-channel environment. A DMAF (dialog manager and arbitrator facade) interfaces with one or more applications, and a hierarchical DMA architecture enables arbitration across the applications and within the same application between various sub-dialogs.

A system and method is shown for enabling a plurality of computers and associated computer resources, some or all of which may be of heterogeneous configuration, to cooperatively process various applications such that the execution is transparent to the user regardless of where the application is actually executing. This distributed applications architecture performs an information distribution service between multiple transaction processing systems by working with a transaction processor via communication channels to other hosts within the network and a dialog manager which uses a transaction processor interface to communicate with the transaction processor. The architecture employs a map service which provides an editor to create the maps for the application panels, a compiler to generate the maps into a linkable form, and a linkable interpreter which translates the linkable form into the screen presentation format for that platform. To distribute an application, the source code for the procedures, view and panels are moved as a block to the new system. This is possible because once the application source code is complete, all application logic, user interface control tables, view definitions, and other application-specific tables for one transaction definition are packaged by the present invention in a single load module on the system where the application will reside. The load module is then compiled using the target system's compiler, link editor, and bind process. Thus, all environment-dependent variations of import / export are automatically integrated with the application at load module bind time, requiring no source code changes.

A spoken language interface between a user and at least one application or system includes a dialog manager operatively coupled to the application or system, an audio input system, an audio output system, a speech decoding engine and a speech synthesizing engine; and at least one user interface data set operatively coupled to the dialog manager, the user interface data set representing spoken language interface elements and data recognizable by the application. The dialog manager enables connection between the input audio system and the speech decoding engine such that a spoken utterance provided by the user is provided from the input audio system to the speech decoding engine. The speech decoding engine decodes the spoken utterance to generate a decoded output which is returned to the dialog manager. The dialog manager uses the decoded output to search the user interface data set for a corresponding spoken language interface element and data which is returned to the dialog manager when found, and provides the spoken language interface element associated data to the application for processing in accordance therewith. The application, on processing that element, provides a reference to an interface element to be spoken. The dialog manager enables connection between the audio output system and the speech synthesizing engine such that the speech synthesizing engine which, accepting data from that element, generates a synthesized output that expresses that element, the audio output system audibly presenting the synthesized output to the user.

Dialog manager and methods for integrating multi-modal data capture device inputs or speech recognition inputs with speech output capabilities. A work flow description is extracted from objects in a graphical user interface and a multi-modal user interface is defined. A dialog engine synchronizes the flow of information, in accordance with the work flow description, between input / output devices and an application. The prompts for inputting data, which are output via a plurality of peripheral devices, are controlled in an intelligent manner by the dialog engine based on the input state of the peripheral devices. Functionality such as barge-in, prompt-holdoff, priority prompts, and talk-ahead is provided.

A spoken dialog system using a best-fit language model and a spoken dialog system using best-fit grammar are disclosed. A spoken dialog system implementing both a best-fit language model and best-fit grammar is further disclosed. Regarding the language model, likelihood scores from a large vocabulary continuous speech recognition (“LVCSR”) module are used to select the best-fit language model among a general task language model and dialog-state dependent language models. Based on the chosen language model, a dialog manager can implement different strategies to improve general dialog performance and recognition accuracy. Regarding grammar, the best-fit grammar method improves performance and user experience of dialog systems by choosing the best-fit grammar among a general purpose grammar and dialog-state dependent sub-grammars. Based on the selected grammar pattern, the dialog system can choose from varying dialog strategies, resulting in an increase in user acceptance of spoken dialog systems.

A personal information manager including a data input device receiving an audio data stream, and decoding the data stream into text. A dialog manager is provided having a record mode and a dialog mode, the dialog manager examines the decoded text received to determine whether it contains one of an explicit and an implicit data processing request. The dialog manager immediately passing explicit data processing requests and queuing implicit data processing requests. An information storage / retrieval module is provided for storing and retrieving data from a database. The information storage / retrieval module executing data processing requests specified by the dialog manager. A an output module is provided for converting text received from the dialog module into speech and outputting the speech in response to a data processing request. The dialog manager passing implicit processing requests to the information storage / retrieval module during periods of inactivity.

A system and method for disease diagnosis through iterative discovery of symptoms using matrix based correlation engine. The Dialog Manager uses the correlation engine to drive the dialogue with the user and presents optimum number of right questions based on which the system correlates and identifies probable disease (s) and the symptom (s) that has the maximum potential to narrow down the search, so as to reach a particular conclusion on disease type. The system computes the most probable disease based on the scores associated with various symptoms. The correlation engine is optimized by computing the probability of diseases using boost factor based on user profile, the total time lapsed from the onset of diseases etc. to enhance the accuracy of the disease identification. Based on the conclusions, Dialog Manager requests the Decision Support Engine for further suggestions and handles the subsequent interaction between the user and Decision Support Engine.

A dialogue system enabling a natural language interaction between a user and a machine having a script interpreter capable of executing dialogue specifications formed according to the rules of an aspect oriented programming language. The script interpreter further contains an advice executor which operates in a weaver type fashion using an appropriately defined select function to determine at most one advice to be executed at join points identified by pointcuts.

Certain examples provide systems and methods for medical diagnostic collaboration. An example system includes a conversation manager to facilitate a first conversation between a first device and a second device. The conversation manager manages a plurality of conversations based on respective conversation identifiers assigned to each of the plurality of conversations. The example system also includes a collaboration session manager to facilitate, via the first conversation, a collaboration session between the first and second devices, which allows a user of the first device and a user of the second device to view, share, and comment on a medical study. In addition, the example system includes a context manager to manage context information to describe a state of the medical study as it is displayed on the first device to synchronize a state of the medical study displayed on each of the first and second devices.

Systems, methods, and machine-readable media are disclosed for providing session control and media exchange control that can include and combine, for example, call control and voice access concepts such as dialog (voice dialog, prompts and DTMF) or web / GUI elements. In one embodiment, a method of controlling a media session can comprise establishing a call via a signaling protocol, maintaining control of the call, and passing control of aspects of the call other than call control to a separate media processing module. The media processing module can comprise, for example, a dialog manager. In some implementations a voice access enabler providing a an abstract interface for accessing functions of the dialog controller.

Disclosed herein are a robot with a judgment system to enable implementation of multi-dimensional recognitions, thoughts and actions, and a control method thereof. The judgment system includes a dialog system and a task-planning system. The dialog system includes a dialog manager to manage the progress of a dialog of the intelligent robot with a user. The task-planning system includes a leader agent, an action agent and an interaction agent and serve to control a goal, plan and action of a task to be performed by the intelligent robot based on the dialog. The judgment system assists separation of concerns and consequently, enhances convenience of development. The judgment system of the robot contains a mechanism that considers a great number of cases, such as a task priority, immediate user input, inherent robot task, etc., enabling implementation of multi-dimensional recognitions, thoughts and actions.

A system and method for recognizing commands in natural language includes a speech recognizer for decoding language and semantic information in utterances provided by a user. A dialog manager provides a hierarchical ordering of handlers, each handler being trained to be responsive to decoded utterances. The dialog manager manages arbitration between the handlers to determine a winning handler for an utterance and decodes the command in accordance with the winning handler.

A dialog management system has an incoming dialog manager (2) for receiving customer information. It automatically updates a profile database and passes data to a segmentation manager for (3) for dynamically determining a current customer segment. In real time, a segmentation decision is used by a feedback manager (10) to generate questions for the customer. Thus the managers (2, 3, 10) operate in a real time cycle involving the customer to gather data and assist the customer as if a personal service were being provided.

A man-machine dialogue system employing an interactive computer system comprising an input device for receiving input from the user. An output device generating output to the user. There is provided an object system which is an information source or store, or a command and control device. The system has a dialogue manager, which orchestrates the dialogue between the object system and user dependent upon a dialogue specification. The specification employs a set of augmented transition networks (ATNs), through which are propagated one or more tokens, the token comprising a set of fields which together define the current state of belief of the dialogue controller, dependent upon the preceding user-system interchanges and information obtained from the object system.

A dialog manager module accesses a dialog model, a discourse model and a domain model to render information to a computer user through the course of a dialog exchange with the computer user. Actions are performed according to a set of rules during the dialog. Each of the rules comprise an action to perform as a function of the current dialog state and a filled form of slots of semantic information of the user input.

A system for recognizing connected digits in natural spoken dialogue includes a speech recognition processor that receives unconstrained fluent input speech and produces a string of words that can include a numeric language, and a numeric understanding processor that converts the string of words into a sequence of digits based on a set of rules. An acoustic model database utilized by the speech recognition processor includes a first set of hidden Markov models that characterize the acoustic features of numeric words and phrases, a second set of hidden Markov models that characterize the acoustic features of the remaining vocabulary words, and a filler model that characterizes the acoustic features of out-of-vocabulary utterances. An utterance verification processor verifies the accuracy of the string of words. A validation database stores a grammar, and a string validation processor outputs validity information based on a comparison of the sequence of digits with the grammar. A dialogue manager processor initiates an action based on the validity information.

The invention discloses a voice communication management system, comprising a communication management device, a state machine model and a state machine; the communication management device is used for storing and maintaining all current effective communication processes, receiving semantic information of a user and providing a corresponding response through the state machine; the state machine model is used for storing all information of a communication field structure, is a static description file of a communication field, and can perform state maintenance and generate a system response according to the field rule described by the state machine model in the operation process; the state machine is used for tracking the state information of the communication progress during the operation, updating the communication state when the user generates an input operation, and dynamically generating a corresponding response according to the current communication state; the particular field information that the state machine relates to is appointed by the state machine model. The voice communication management system can perform customization on a specific communication flow through embedding the JavaScript codes and can realize more flexible communication management.

A method to generate dialogue manager (DM) is provided, in which a plurality DMs with the same purpose but having different dialogue acts is automatically generated according to a DM designed by a designer. An automatic aiding tool facilitates the design of a dialogue flow and the adjustment of DM rules, and also helps a system designer to find out potential problems in the original DM. The method adopts the current DM combined with a user simulation technique and further employs a specially designed scoring function, so as to automatically generate a plurality of new DMs. The new DMs achieve the same dialogue purpose as the original DM, but differ from the original DM in system acts and responses during the dialogue process. The dialogue flow of the dialogue system is enhanced, and meanwhile, the design and improvement of the DM are also accelerated.