Multi-context voice recognition system for long item list searches

• US 20070225970A1
• Filed: 03/21/2006
• Published: 09/27/2007
• Est. Priority Date: 03/21/2006
• Status: Abandoned Application

• Current Assignee: Delphi Technologies, Inc. (BorgWarner Incorporated)
• Original Assignee: Delphi Technologies, Inc. (BorgWarner Incorporated)
• Inventors: Puranik, Nishikant, Kady, Mark
• Application Number:
  US11/385,279
• Publication Number:
  US 20070225970A1
• Time in Patent Office: Days
• US Class Current: 704/10
• CPC Class Codes: G10L 15/1815 Semantic context, e.g. disambiguation of the recognition hypotheses based on word meaning
• CPC Class Codes: G10L 2015/088 Word spotting

Abstract

A multi-context speech recognition system includes a device for providing phrase based speech recognition and keyword based speech recognition from a single user utterance. A first speech recognition engine coupled to a phrase based dictionary is used for searching out matches between the utterance and one or more entries in the phrase based dictionary. A second speech engine is coupled to a keyword based dictionary for searching out matches between the utterance and one or more entries found in a keyword based dictionary.

Claims

1. A speech recognition system, comprising:

an audio input device for accepting a phrase based, search request;

a first speech engine coupled to a phrase based dictionary for searching out matches between said phrase based, search request and one or more entries in the phrase based dictionary; and

a second speech engine coupled to a keyword based dictionary for searching out matches between one or more component words of said phrase based, search request and one or more entries in the keyword based dictionary.

2. The speech recognition system of claim 1, wherein said audio input device for accepting a first, phrase based, search request comprises an audio transducer coupled to a codec device.

3. The speech recognition system of claim 1, wherein said audio input device comprises a dual speech buffer for storing the audio input search request.

4. The speech recognition system of claim 1, wherein said phrase based dictionary is compiled from a metadata database.

5. The speech recognition system of claim 1, wherein said keyword based dictionary is compiled from a metadata database.

6. The speech recognition system of claim 1, wherein said keyword based dictionary is created by parsing one or more component words that make up said phrase based, search request.

7. The speech recognition system of claim 1, wherein said matches searched out by said first and second search engines are displayed to the user by a results manager.

8. The speech recognition system of claim 7, wherein the results manager is adapted to display said matches in an order relating to confidence level of the first and second speech engines.

9. A speech recognition system, comprising:

an audio input device for accepting a phrase based, search request;

a phrase based dictionary comprising text phrase entries;

a keyword based dictionary comprising text keyword entries;

a first speech engine coupled to the phrase based dictionary for searching out matches between said phrase based, search request and one or more entries in the phrase based dictionary; and

a second speech engine coupled to the keyword based dictionary for searching out matches between one or more component words of said phrase based, search request and one or more entries in the keyword based dictionary.

10. The speech recognition system of claim 9, wherein said audio input device for accepting a first, phrase based, search request comprises an audio transducer coupled to a codec device.

11. The speech recognition system of claim 9, wherein said system further comprises a dual speech buffer for storing the audio input search request.

12. The speech recognition system of claim 9, wherein said phrase based dictionary is compiled from a metadata database.

13. The speech recognition system of claim 9, wherein said keyword based dictionary is compiled from a metadata database.

14. The speech recognition system of claim 9, wherein said keyword based, dictionary is created by parsing one or more component words that make up said phrase based dictionary.

15. The speech recognition system of claim 9, wherein said matches searched out by said first and second search engines are displayed to the user by a results manager.

16. The speech recognition system of claim 15, wherein the results manager is adapted to display said matches in an order relating to confidence level as determined by the first and second speech engines.

17. A method of searching lists of items, comprising the steps of:

receiving a spoken request from a user;

passing the spoken request to first and second speech engines, wherein the first speech engine is loaded with a phrase based dictionary, and the second speech engine is loaded with a keyword based dictionary created by parsing keywords from the phrase based dictionary;

comparing the spoken request with entries contained in the phrase based dictionary;

comparing the spoken request with keyword entries contained in the keyword based dictionary; and

generating one or more speech recognition matches based on the steps of comparing.

18. The method of claim 17, wherein said step of receiving a user spoken request comprises receiving an audio request from the user.

19. The method of claim 17 further comprising the step of storing the user spoken request in a dual speech buffer.

20. The method of claim 17 further comprising the step of:

displaying one or more single string requests and parsed string requests to the user.

21. The method of claim 17 further comprising the step of sorting the one or more matches.

22. The method of claim 21, wherein the step of sorting comprises sorting the one or more matches based on confidence level.