GRAMMAR ADAPTATION THROUGH COOPERATIVE CLIENT AND SERVER BASED SPEECH RECOGNITION

• US 20070276651A1
• Filed: 05/23/2006
• Published: 11/29/2007
• Est. Priority Date: 05/23/2006
• Status: Abandoned Application

• Current Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Original Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Inventors: Bliss, Harry M., Phillips, W. Garland
• Application Number:
  US11/419,804
• Publication Number:
  US 20070276651A1
• Time in Patent Office: Days
• US Class Current: 704/9
• CPC Class Codes: G10L 15/30 Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
• CPC Class Codes: G10L 2015/228 of application context

Abstract

A system (200) and method (300) for grammar adaptation is provided. The method can include attempting a first recognition of a spoken utterance (304) using a first speech grammar (204), consulting (308) a second speech grammar (224) based on a recognition failure, and receiving a correct recognition result (310) and a portion of a speech grammar for updating (312) the first speech grammar. The first speech grammar can be incrementally updated, or expanded, to broaden grammar coverage for adapting to a user'"'"'s vocabulary and grammar over time.

Claims

1. A method for grammar adaptation, comprising:

selecting a first speech grammar for use in a first speech recognition system;

attempting a first recognition of a spoken utterance using the first speech grammar;

based on an unsuccessful recognition, consulting a second speech recognition system using a second speech grammar; and

sending a correct recognition result for the first recognition and a portion of a speech grammar from the second speech recognition system to the first speech recognition system for updating the first recognition system and the first speech grammar,

wherein the first speech recognition system adapts a recognition of one or more spoken utterances in view of the first recognition and the portion of a speech grammar provided by the second recognition system.

2. The method of claim 1, wherein the speech grammar can be a rule based grammar such as a context free grammar, or a non-rule based grammar such as a finite state grammar or a recursive transition network.

3. The method of claim 1, wherein the consulting further comprises:

acknowledging an unsuccessful recognition of the second speech recognition system for recognizing the spoken utterance;

informing the first speech recognition system of the failure;

receiving a manual text entry in response to the recognition failure for providing a correct recognition result of the first recognition; and

updating the first speech grammar based on the manual text entry.

4. The method of claim 1, wherein the consulting further comprises:

determining a recognition success at the second speech recognition system for recognizing the spoken utterance; and

informing the first speech recognition system of the recognition success through the correct recognition result and the portion of a speech grammar, wherein the correct recognition result includes one or more associated resources corresponding to a correct interpretation of the spoken utterance.

5. The method of claim 1, further comprising:

establishing a cooperative communication between the first speech recognition system and the second speech recognition system; and

synchronizing the first speech grammar with the second speech grammar for providing an application context of the spoken utterance based on a recognition failure, wherein the first speech recognition system and the second speech recognition system use grammars of the same semantic type for establishing the application context.

6. The method of claim 1, wherein the first speech recognition system updates an associated resource based on a receipt of the correct recognition result.

7. The method of claim 1, further comprising:

logging one or more recognition successes and one or more recognition failures for tuning the speech recognition system.

8. The method of claim 7, further comprising:

evaluating a usage history of correct recognition results in the dictionary; and

replacing a least frequently used recognition result with the correct recognition result.

9. The method of claim 7, wherein the resource is at least one of a dictionary, a dictation memory, a phonebook, a song list, a media play list, and a video play list.

10. The method of claim 7, further comprising adding a correct vocabulary to a recognition dictionary, wherein the dictionary contains one or more word entries corresponding to a correct interpretation of the spoken utterance.

11. The method of claim 10, further comprising:

receiving a request to download at least a portion of a grammar from a network onto the first speech recognition system.

12. A system for grammar adaptation, comprising:

a mobile device comprising;

a first speech grammar having a local dictionary;

a first speech recognition system for attempting a first recognition of a spoken utterance using said first speech grammar; and

a processor for sending the spoken utterance to a server in response to a recognition failure and for receiving a recognition result of the first recognition and at least a portion of a speech grammar from the server for updating the first recognition and the first speech grammar,

wherein the speech recognition system adapts the recognition of one or more spoken utterances in view of the recognition result and updated speech grammar.

13. The system of claim 12, wherein the mobile device further comprises:

a phone book for identifying one or more call resources and a vocabulary of a recognized call parameter and a call list update to the first speech grammar, wherein the spoken utterance identifies the call parameters.

14. The system of claim 12, further comprising

a speech server comprising:

a second speech grammar having access to a dictionary;

a second speech recognition system for using said second speech grammar to recognize the spoken utterance; and

a processor for sending a recognition result of the spoken utterance and a portion of a speech grammar employed to recognize the spoken utterance to the mobile device.

15. The system of claim 14, wherein the speech server sends a portion of a dictionary associated with the portion of the grammar and a portion of an application database associated with the portion of the grammar to the mobile device along with the portion of the speech grammar.

16. The system of claim 14, wherein the mobile device further comprises:

a communication unit for synchronizing the first speech grammar used by the first speech recognition system with the second speech grammar used by the second speech recognition system for providing an application context of the spoken utterance to the speech server based on a recognition failure.

17. The system of claim 12, wherein the mobile device further comprises:

a music player for receiving the vocabulary of a recognized song and a song list update to the first speech grammar, wherein the spoken utterance identifies a song.

18. The system of claim 17, wherein the mobile device broadcasts a song request to at least one listening device that interprets the spoken utterance and provides the recognized song to the mobile device for download.

19. The system of claim 12, wherein the mobile device further comprises:

a voice dictation unit for capturing speech, converting one or more spoken utterances to text, and receiving a vocabulary for updating the first speech grammar.

20. The system of claim 19, wherein the speech recognition system updates the local dictionary with the vocabulary, one or more dictionary entries, and a language model update.

21. A method of adapting a speech grammar for voice dictation, comprising:

receiving a dictation from a user, wherein the dictation includes one or more words from the user'"'"'s vocabulary;

identifying one or more unrecognized words of the dictation in an application context of a first speech grammar using a first speech recognition system having a dictionary and a language model;

sending at least a portion of the dictation containing the unrecognized words to a second speech recognition system for recognizing the dictation;

receiving a recognition result string with one or more dictionary entries and a language model update for one or more words in the result string;

modifying the dictation with the recognition result string; and

adding the one or more words to the dictionary and the language model, wherein the dictionary is modified to adapt to the user'"'"'s vocabulary.

22. The method of claim 21, further comprising using the dictation as a starting point for creating one or more messages, wherein the messages are ranked by a frequency of usage.

23. The method of claim 21, further comprising:

displaying the recognition result string for soliciting a confirmation.

24. The method of claim 23, further comprising storing the recognition result into a browsable archive.