Method and Apparatus for Adapting a Voice Extensible Markup Language-enabled Voice System for Natural Speech Recognition and System Response

• US 20110106527A1
• Filed: 09/16/2010
• Published: 05/05/2011
• Est. Priority Date: 07/03/2001
• Status: Abandoned Application

• Current Assignee: Apptera Incorporated
• Original Assignee: Apptera Incorporated
• Inventors: Chiu, Leo
• Application Number:
  US12/884,035
• Publication Number:
  US 20110106527A1
• Time in Patent Office: Days
• US Class Current: 704/9
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence
• CPC Class Codes: G10L 15/30 Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
• CPC Class Codes: G10L 2015/228 of application context
• CPC Class Codes: H04M 2201/36 Memories
• CPC Class Codes: H04M 2201/39 using speech synthesis speech synthesis per se G10L13/00
• CPC Class Codes: H04M 2201/40 using speech recognition speech recognition per se G10L15/00
• CPC Class Codes: H04M 2203/355 Interactive dialogue design tools, features or methods
• CPC Class Codes: H04M 3/42059 Making use of the calling party identifier
• CPC Class Codes: H04M 3/4936 Speech interaction details speech recognition per se G10L15/00
• CPC Class Codes: H04M 3/4938 comprising a voice browser which renders and interprets, e.g. VoiceXML

Abstract

A system for analyzing natural language spoken through a voice recognition system comprising: a language separator for separating a natural language expression into multiple word segments; and a grammar module for creating XML-based description sets or binary sets using word segments as input. In a preferred embodiment, the word segments are further processed as class objects and then organized according to original spoken order and wherein content fields are created to contain the class objects for comparison during voice interaction using the voice recognition system.

Claims

1. A system for analyzing natural language spoken through a voice recognition system comprising:

a language separator for separating a natural language expression into multiple word segments; and

a grammar module for creating XML-based description sets or binary sets using word segments as input;

wherein the word segments are further processed as class objects and then organized according to original spoken order, and wherein content fields are created to contain the class objects for comparison during voice interaction using the voice recognition system.