Nuance Communications, Inc.

James M Riseman

Larry Paul Heck

James E White

Michael H Cohen

Eylon Stroh

Julian Sinai

Jennifer E Balogh

Richard B Unger

Naghmeh N Mirghafori

R Douglas Sharp

A machine-implemented method of building a speech application includes generating a graphical user interface to enable a user to create and edit a speech application, and receiving user inputs directed to the graphical user interface, where the user inputs specify a set of dialog flows representing the speech application. The method further includes, based on the user inputs, automatically generating executable code representing the speech application and a functional specification document describing the speech application.

Computer-implemented tool for creation of speech application code and associated functional specification

A system which uses automatic speech recognition to provide dialogs with human speakers automatically detects one or more characteristics, which may be characteristics of a speaker, his speech, his environment, or the speech channel used to communicate with the speaker. The characteristic may be detected either during the dialog or at a later time based on stored data representing the dialog. If the characteristic is detected during the dialog, the dialog can be customized for the speaker at an application level, based on the detected characteristic. The customization may include customization of operations and features such as call routing, error recovery, call flow, content selection, system prompts, or system persona. Data indicative of detected characteristics can be stored and accumulated for many speakers and/or dialogs and analyzed offline to generate a demographic or other type of analysis of the speakers or dialogs with respect to one or more detected characteristics.

Detection of characteristics of human-machine interactions for dialog customization and analysis

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San Francisco, CA, United States of America

James M Riseman