Computer-implemented speech expectation-based probability method and system

• US 20020087309A1
• 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:
  US09/864,045
• Publication Number:
  US 20020087309A1
• Time in Patent Office: Days
• US Class Current: 704/240
• 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 2015/228 of application context
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• 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 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 computer-implemented system and method for speech recognition of a user speech input. A language model is used to contain probabilities used to recognize speech, and an application domain description data store contains a mapping between pre-selected words and domains. A probability adjustment unit selects at least one domain based upon the user speech input. The probability adjustment unit adjusts the probabilities of the language model to recognize the user speech input based upon the words that are mapped to the selected domain.

Claims

1. A computer-implemented system for speech recognition of a user speech input, comprising:

a language model that contains probabilities used to recognize speech;

an application domain description data store that contains a mapping between pre-selected words and domains;

a probability adjustment unit connected to the application domain description data store that selects at least one domain based upon the user speech input, said probability adjustment unit adjusting the probabilities of the language model to recognize the user speech input based upon the words that are mapped to the selected domain.