Computer-implemented dynamic language model generation method and system

• US 20020087311A1
• 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: Leung Lee, Victor Wai, Basir, Otman A., Sun, Jiping, Jing, Xing, Karray, Fakhreddine O.
• Application Number:
  US09/863,738
• Publication Number:
  US 20020087311A1
• Time in Patent Office: Days
• US Class Current: 704/251
• 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 15/187 Phonemic context, e.g. pronunciation rules, phonotactical constraints or phoneme n-grams
• 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 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 plurality of language models contains words belonging to domains at different levels of specificity. A recognition unit recognizes words of the user speech input through use of the different language models. A dynamic language model generation unit generates a dynamic language model from the recognized words by examining both semantic and phonetic information of the recognized words. The dynamic language model is used to recognize the words in the user speech input.

Claims

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

a plurality of language models that contains words belonging to domains at different levels of specificity;

a recognition unit connected to the language models that recognizes words of the user speech input through use of the different language models; and

a dynamic language model generation unit connected to the recognition unit that generates a dynamic language model from the recognized words by examining both semantic and phonetic information of the recognized words;

wherein the dynamic language model is used to recognize the words in the user speech input.

2. The system of claim 1 wherein the language models form a hierarchy that progresses from general terms to specific terms is used to recognize the utterances from the user speech input.

3. The system of claim 2 wherein the language models regard domains, wherein hierarchy of language models is organized based upon the domain to which a language model is directed.

4. The system of claim 3 wherein the language models are hidden Markov language recognition models.

5. The system of claim 3 wherein the recognized words are provided to an electronic commerce transaction computer server in order to process request of the user input speech.

6. The system of claim 1 further comprising:

a web summary knowledge database connected to the recognition unit that stores associations between first terms and second terms, wherein the associations indicate that when a first term is used its associated second term has a likelihood to be present, wherein Internet web pages are processed in order to determine the associations between the first and second terms, wherein the recognition unit uses the stored associations to recognize the utterances within the user input speech.

7. The system of claim 1 further comprising:

a phonetic knowledge unit connected to the dynamic language model generation unit that stores the degree of pronunciation similarity between a first and second term, wherein the phonetic knowledge unit is used to select terms of similar pronunciation for storage in the second language model, wherein the dynamic language model generation unit uses the stored pronunciation similarity to identify words to add to the dynamic language model.

8. The system of claim 1 wherein a conceptual knowledge database unit stores word concept structure and relations, wherein the stored word concept structure and relations are used by the recognition unit to recognize the words within the user input speech.

9. The system of claim 1 wherein the recognition unit includes multi-scanning means.

10. The system of claim 1 wherein the recognized words are used within a telephony system.