Computer-implemented intelligent speech model partitioning method and system

• US 20020087313A1
• Filed: 05/23/2001
• Published: 07/04/2002
• Est. Priority Date: 12/29/2000
• Status: Abandoned Application

• Current Assignee: Qjunction Technology, Inc.
• Original Assignee: Qjunction Technology, Inc.
• Inventors: Basir, Otman A., Sun, Jiping, Jing, Xing, Karray, Fakhreddine O., Lee, Victor Wai Leung
• Application Number:
  US09/863,937
• Publication Number:
  US 20020087313A1
• Time in Patent Office: Days
• US Class Current: 704/254
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: G10L 15/1815 Semantic context, e.g. disambiguation of the recognition hypotheses based on word meaning
• CPC Class Codes: G10L 15/183 using context dependencies, e.g. language models
• CPC Class Codes: G10L 15/197 Probabilistic grammars, e.g. word n-grams
• CPC Class Codes: G10L 15/20 Speech recognition techniques specially adapted for robustness in adverse environments, e.g. in noise, of stress induced speech G10L21/02 takes precedence
• CPC Class Codes: G10L 2015/228 of application context
• CPC Class Codes: H04L 69/329 in the application layer [OSI layer 7]
• CPC Class Codes: H04L 9/40 Network security protocols
• CPC Class Codes: H04M 2201/40 using speech recognition
• CPC Class Codes: H04M 3/4938 comprising a voice browser which renders and interprets, e.g. VoiceXML

Abstract

A computer-implemented method and system for generating speech models for use in speech recognition of a user speech input. Word conceptual networks are formed by grouping words with pre-selected pivot words. The groupings of words form phrases directed to pre-selected concepts. Phoneme networks are associated with the words in the word conceptual networks. The phoneme networks contain probabilities for recognizing the words in the word conceptual networks. A language model is partitioned into sub-language models based upon the pivot words. The sub-language models include the phoneme networks that are associated with the words grouped with the sub-language models'"'"' respective pivot words.

Claims

1. A computer-implemented method for generating speech models for use in speech recognition of a user speech input, comprising the steps of:

determining word conceptual networks that are formed by grouping words with pre-selected pivot words, said groupings of words forming phrases directed to pre-selected concepts;

associating phoneme networks with the words in the word conceptual networks, said phoneme networks containing probabilities for recognizing the words in the word conceptual networks; and

partitioning a language model into sub-language models based upon the pivot words, said sub-language models including the phoneme networks that are associated with the words grouped with the sub-language models'"'"' respective pivot words.