APPARATUS AND METHOD FOR OPTIMIZING A CONCATENATE RECOGNITION UNIT

• US 20110010165A1
• Filed: 04/30/2010
• Published: 01/13/2011
• Est. Priority Date: 07/13/2009
• Status: Abandoned Application

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: Bak, Eun Sang, PARK, Yun-Gun
• Application Number:
  US12/770,878
• Publication Number:
  US 20110010165A1
• Time in Patent Office: Days
• US Class Current: 704/9
• 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

Abstract

An apparatus and method for optimizing a concatenate recognition unit are provided. The apparatus and method of optimizing a concatenate recognition unit may generate an optimized concatenate recognition unit based on a basic language model generated using the concatenate recognition unit extracted from statistical information.

Claims

1. An apparatus for optimizing a concatenate recognition unit, the apparatus comprising:

a statistical information extraction unit configured to extract statistical information from a Pseudo recognition unit-tagged text corpus;

a concatenate recognition unit (CRU) selection unit configured to select the concatenate recognition unit based on the extracted statistical information;

a language model generation unit configured to process the text corpus using the selected concatenate recognition unit, and to generate a basic language model based on the processed text corpus; and

a concatenate recognition unit (CRU) generation unit configured to extract an optimized concatenate recognition unit based on the generated basic language model, and to generate the extracted optimized concatenate recognition unit as a recognition unit.

2. The apparatus of claim 1, wherein the statistical information extraction unit is further configured to extract statistical information that includes at least one of frequency information, mutual information, and unigram log-likelihood information, with respect to the recognition unit in the text corpus.

3. The apparatus of claim 1, wherein the CRU selection unit is further configured to:

analyze a performance of a concatenate recognition unit from the extracted statistical information; and

extract a priority list of the concatenate recognition unit associated with first priority information based on the analyzed performance.

4. The apparatus of claim 3, wherein the CRU selection unit is further configured to select the concatenate recognition unit from the priority list associated with the first priority information.

5. The apparatus of claim 3, wherein the language model generation unit is further configured to process the priority list, in association with the text corpus, to generate the basic language model based on the processed text corpus.

6. The apparatus of claim 3, wherein the CRU generation unit comprises a concatenate recognition unit (CRU) optimization unit configured to:

analyze second priority information of the concatenate recognition unit from the generated basic language model; and

extract the optimized concatenate recognition unit.

7. The apparatus of claim 6, wherein the CRU optimization unit is further configured to analyze the second priority information from probability summation information or context information of the concatenate recognition unit, the probability summation information or the context information being from the generated basic language model.

8. The apparatus of claim 7, wherein the CRU optimization unit is further configured to reorder the concatenate recognition unit on the priority list based on the second priority information.

9. The apparatus of claim 7, wherein the CRU optimization unit is further configured to remove concatenation of concatenate recognition units that are not generated in the generated basic language model.

10. The apparatus of claim 7, wherein the probability summation information comprises a probability sum of a recognition unit with respect to the concatenate recognition units generated in the generated basic language model.

11. The apparatus of claim 10, wherein the CRU optimization unit is further configured to remove concatenation of concatenate recognition units that are not generated in the generated basic language model, from the second priority information about the sum of probability for each recognition unit.

12. The apparatus of claim 7, wherein the context information comprises one or more context factors for each recognition unit generated in the basic language model.

13. The apparatus of claim 12, wherein the CRU optimization unit is further configured to remove concatenation of concatenate recognition units that are not generated in the generated basic language model, from the second priority information based on the one or more context factors for each recognition unit.

14. The apparatus of claim 1, wherein the CRU generation unit is further configured to update a language model and a pronunciation dictionary based on the extracted optimized concatenate recognition unit.

15. The apparatus of claim 1, wherein the CRU generation unit is further configured to retrain an acoustic model based on the extracted optimized concatenate recognition unit.

16. A method for optimizing a concatenate recognition unit, the method comprising:

extracting statistical information from a Pseudo recognition unit-tagged text corpus;

selecting a concatenate recognition unit based on the extracted statistical information;

processing the text corpus using the selected concatenate recognition unit;

generating a basic language model based on the processed text corpus;

extracting an optimized concatenate recognition unit based on the generated basic language model; and

generating the extracted optimized concatenate recognition unit as an optimized concatenate recognition unit.

17. The method of claim 16, wherein the selecting comprises:

analyzing a performance of the concatenate recognition unit from the extracted statistical information; and

extracting a priority list of the concatenate recognition unit associated with first priority information based on the analyzed performance.

18. The method of claim 17, wherein the generating of the basic language model comprises processing the priority list in association with the text corpus to generate the basic language model.

19. The method of claim 17, wherein the generating of the extracted optimized concatenate recognition unit comprises:

analyzing second priority information of the concatenate recognition unit from the generated basic language model; and

extracting the optimized concatenate recognition unit.

20. A computer-readable recording medium storing instructions to a cause a processor to perform a method, comprising:

extracting statistical information from a Pseudo recognition unit-tagged text corpus;

selecting a concatenate recognition unit based on the extracted statistical information;

processing the text corpus using the selected concatenate recognition unit;

generating a basic language model based on the processed text corpus;

extracting an optimized concatenate recognition unit based on the generated basic language model; and

generating the extracted optimized concatenate recognition unit as an optimized concatenate recognition unit.