91 results about "Dialog manager" patented technology

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 asynchronous 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 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 for providing automatic and coordinated sharing of conversational resources, e.g., functions and arguments, between network-connected servers and devices and their corresponding applications. In one aspect, a system for providing automatic and coordinated sharing of conversational resources includes a network having a first and second network device, the first and second network device each comprising a set of conversational resources, a dialog manager for managing a conversation and executing calls requesting a conversational service, and a communication stack for communicating messages over the network using conversational protocols, wherein the conversational protocols establish coordinated network communication between the dialog managers of the first and second network device to automatically share the set of conversational resources of the first and second network device, when necessary, to perform their respective requested conversational service.

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 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 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.

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 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.