Distributed speech recognition system and method and terminal and server for distributed speech recognition

• US 20080201147A1
• Filed: 07/13/2007
• Published: 08/21/2008
• Est. Priority Date: 02/21/2007
• Status: Abandoned Application

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: Han, Ick-sang, Kim, Jeong-su, Kim, Kyu-hong
• Application Number:
  US11/826,346
• Publication Number:
  US 20080201147A1
• Time in Patent Office: Days
• US Class Current: 704/254
• CPC Class Codes: G10L 15/30 Distributed recognition, e.g. in client-server systems, for mobile phones or network applications

Abstract

Provided are a distributed speech recognition system, a distributed speech recognition speech method, and a terminal and a server for distributed speech recognition. The distributed speech recognition system includes a terminal which decodes a feature vector that is extracted from an input speech signal into a sequence of phonemes and generates the final recognition result by rescoring a candidate list provided from the outside; and a server which generates the candidate list by performing symbol matching on the recognized sequence of phonemes provided from the terminal and transmits the candidate list for the rescoring to the terminal.

Claims

1. A distributed speech recognition system comprising:

a terminal which decodes a feature vector that is extracted from an input speech signal into a recognized sequence of phonemes; and

a server which performs symbol matching on the recognized sequence of phonemes provided from the terminal and transmits a final recognition result to the terminal.

2. The distributed speech recognition system of claim 1, wherein the terminal performs phonemic decoding using a speaker adaptive acoustic model or an environmentally adaptive acoustic model.

3. The distributed speech recognition system of claim 1, wherein the terminal includes a feature extracting unit that extracts the feature vector from the speech signal, a phonemic decoding unit that decodes the extracted feature vector into the sequence of phonemes and provides the server with the sequence of phonemes, and a receiving unit that receives the final recognition result from the server.

4. The distributed speech recognition system of claim 1, wherein the server includes a symbol matching unit that matches the recognized sequence of phonemes provided from the terminal with a sequence of phonemes that is registered in a word list, and a calculation unit that calculates a matching score of a matching result from the symbol matching unit and provides the terminal with the final recognition result which is obtained based on the matching score.

5. A distributed speech recognition system comprising:

a terminal which decodes a feature vector that is extracted from an input speech signal into a sequence of phonemes and generates a final recognition result by rescoring a candidate list provided from the outside; and

a server which generates the candidate list by performing symbol matching on the recognized sequence of phonemes provided from the terminal and transmits the candidate list for the rescoring to the terminal.

6. The distributed speech recognition system of claim 5, wherein the terminal performs phonemic decoding using a speaker adaptive acoustic model or an environmentally adaptive acoustic model.

7. The distributed speech recognition system of claim 5, wherein the terminal includes a feature extracting unit that extracts the feature vector from the speech signal, a phonemic decoding unit that decodes the extracted feature vector into the sequence of phonemes and provides the server with the sequence of phonemes, and a detail matching unit that performs rescoring on the candidate list provided from the server.

8. The distributed speech recognition system of claim 5, wherein the server comprises a symbol matching unit that matches the recognized sequence of phonemes provided from the terminal with a sequence of phonemes that is registered in a word list, and a calculation unit that calculates a matching score of the matching result from the symbol matching unit and provides the terminal with the candidate list according to the matching score.

9. A terminal comprising:

a feature extracting unit which extracts a feature vector from an input speech signal;

a phonemic decoding unit which decodes the extracted feature vector into a sequence of phonemes and provides a server with the sequence of phonemes; and

a receiving unit which receives the final recognition result from the server.

10. The terminal of claim 9, wherein the phonemic decoding unit uses a speaker adaptive acoustic model or an environmentally adaptive acoustic model.

11. A terminal comprising:

a feature extracting unit which extracts a feature vector from an input speech signal;

a phonemic decoding unit which decodes the extracted feature vector into a sequence of phonemes and provides a server with the sequence of phonemes; and

a detail matching unit which performs rescoring on a candidate list provided from the server.

12. The terminal of claim 11, wherein the phonemic decoding unit uses a speaker adaptive acoustic model or an environmentally adaptive acoustic model.

13. A server comprising:

a symbol matching unit which receives a recognized sequence of phonemes from a terminal and matches the recognized sequence of phonemes with a sequence of phonemes that is registered in a word list; and

a calculation unit which generates a final recognition result based on a matching score of a matching result from the symbol matching unit and provides the terminal with the final recognition result.

14. A server comprising:

a symbol matching unit which receives a recognized sequence of phonemes from a terminal and matches the recognized sequence of phonemes with a sequence of phonemes that is registered in a word list; and

a calculation unit which generates a candidate list according to a matching score of a matching result from the symbol matching unit and provides the terminal with the candidate list for rescoring.

15. A distributed speech recognition method comprising:

decoding a feature vector which is extracted from an input speech signal into a recognized sequence of phonemes by using a terminal;

receiving the recognized sequence of phonemes and generating the final recognition result by performing symbol matching on the recognized sequence of phonemes by using a server; and

receiving a final recognition result, which has been generated in the server, by using the terminal.

16. The distributed speech recognition method of claim 15, wherein the terminal uses a speaker adaptive acoustic model or an environmentally adaptive acoustic model.

17. The distributed speech recognition method of claim 15, wherein the phonemic decoding of the feature vector includes extracting the feature vector from the speech signal, and decoding the extracted feature vector into the sequence of phonemes and providing the sequence of phonemes to the server.

18. The distributed speech recognition method of claim 15, wherein the generating of the final recognition result includes matching the recognized sequence of phonemes provided from the server with a sequence of phonemes that is registered in a word list and calculating a matching score of a matching result and providing the terminal with the final recognition result according to the matching score.

23. A computer readable recording medium having embodied thereon a computer program for executing a distributed speech recognition method of claim 15.

19. A distributed speech recognition method comprising:

decoding a feature vector that is extracted from an input speech signal into a recognized sequence of phonemes by using a terminal;

receiving the recognized sequence of phonemes from the server and generating a candidate list by performing symbol matching on the recognized sequence of phonemes by using a server; and

generating a final recognition result by rescoring the candidate list, which has been generated in the server, by using the terminal.

20. The distributed speech recognition method of claim 19, wherein the terminal uses a speaker adaptive acoustic model or an environmentally adaptive acoustic model.

21. The distributed speech recognition method of claim 19, wherein the phonemic decoding of the feature vector includes extracting the feature vector from the speech signal, and decoding the extracted feature vector into the sequence of phonemes and providing the sequence of phonemes to the server.

22. The distributed speech recognition method of claim 19, wherein the generating of the candidate list includes matching the recognized sequence of phonemes provided from the server with a sequence of phonemes that is registered in a word list and calculating a matching score of a matching result and providing the terminal with the candidate list according to the matching score.

24. A computer readable recording medium having embodied thereon a computer program for executing a distributed speech recognition method of claim 19.