System for handling frequently asked questions in a natural language dialog service

Abstract

A voice-enabled help desk service is disclosed. The service comprises an automatic speech recognition module for recognizing speech from a user, a spoken language understanding module for understanding the output from the automatic speech recognition module, a dialog management module for generating a response to speech from the user, a natural voices text-to-speech synthesis module for synthesizing speech to generate the response to the user, and a frequently asked questions module. The frequently asked questions module handles frequently asked questions from the user by changing voices and providing predetermined prompts to answer the frequently asked question.

Description

PRIORITY DOCUMENTS[0001]The present application is a continuation of U.S. patent application Ser. No. 11 / 675,166, filed Feb. 15, 2007, which is a continuation of U.S. patent application Ser. No. 10 / 326,692, filed Dec. 19, 2002, which claims priority to provisional application No. 60 / 374,961, filed Apr. 23, 2002, the contents of which are incorporated herein by reference.RELATED APPLICATIONS[0002]This case is related to commonly assigned U.S. patent application Ser. No. 10 / 235,266, filed on Dec. 19, 2002, the contents of which are incorporated herein by reference (attorney docket number 2002-0093A). This case is related to commonly assigned U.S. patent application Ser. No. 10 / 235,295, filed Dec. 19, 2002, the contents of which are incorporated herein by reference (attorney docket number 2002-0093). This case is related to commonly assigned U.S. patent application Ser. No. 10 / 326,691, filed Dec. 19, 2002, the contents of which are incorporated herein by reference (attorney docket numb...

AI Technical Summary

Benefits of technology

[0013]What is needed in the art is a help desk service that provides a more natural information exchange between a user and the help desk that increases customer satisfaction. An advantage of the present invention is to enable a natural languages help desk application that provides increased ease of use for customers calling the help desk.

[0014]Another advantage of the present invention is to improve customer relationships with companies using a natural language help desk that understands and interacts with users in a more efficient and pleasant manner, especially when handling frequently asked questions. The help desk according to the present invention includes an extended spoken language understanding module that includes further features of handling frequently asked questions.

[0015]Embodiments of the present invention include systems, methods and computer-readable medium-stored instructions for providing a voice-enabled interface. In an exemplary embodiment, a voice-enabled help desk service comprises (1) an automatic speech recognition module having a general-purpose acoustic model and a domain-specific model, wherein the general-purpose model is used for bootstrapping at an initial deployment of the voice-enabled help desk service and the domain-specific model is used to adapt the automatic speech recognition module after deployment; (2) a spoken language understanding module that performs text normalization, entity extraction and semantic classification using a boosting approach that balances human-crafted rules with available data, the spoken language understanding module including a frequently asked questions module; (3) a dialog management module that comprises an interpreter, finite state machine engine and an action template; and (4) a natural voices text-to-speech synthesis module for synthesizing speech. The frequently asked questions module handles frequently asked questions from the user by changing voices and providing prompts and answers calculated to move the user from the question back to the main dialog.

Problems solved by technology

Several studies have shown that the “unnatural” and poor user interfaces of such menus tend to confuse and frustrate callers, preventing the callers from accessing information, let alone obtaining, in many cases, obtaining the desired service they expect.

For example, studies show that over 53% of surveyed consumers say that automated IVR systems are the most frustrating part of customer service.

In one survey, 46% of consumers dropped their credit card provider and 30% of them dropped their phone company provider due to poor customer care.

Previous systems fail to adequately and efficiently handle these kinds of frequently asked questions.

Current technologies fail to enable companies to afford generating automated help desks.

Such systems are time-consuming and costly to build, thus effectively preventing many companies from participating and receiving the improved customer care service that can be provided.

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