Transcribing speech data with dialog context and/or recognition alternative information

• US 20060004570A1
• Filed: 06/30/2004
• Published: 01/05/2006
• Est. Priority Date: 06/30/2004
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Ju, Yun-Cheng, Wang, Kuansan, Bhatia, Siddharth
• Application Number:
  US10/880,683
• Publication Number:
  US 20060004570A1
• Time in Patent Office: Days
• US Class Current: 704/243
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 2015/228 of application context

Abstract

A framework for easy and accurate transcription of speech data is provided. Utterances related to a single task are grouped together and processed using combinations of associated sets of recognition results and/or context information in a manner that allows the same transcription for a selected recognition result to be assigned to each of the utterances under consideration.

Claims

1. A method for processing speech data comprising:

receiving speech data corresponding to a set of similar utterances related to a single task and an associated set of recognition results for each of the utterances;

selecting a single recognition result from the set of recognition results; and

assigning transcription data for each utterance based on the selected recognition result.

2. The method of claim 1 and further comprising:

receiving further information related to context of the utterances for the single task, and wherein selecting the single recognition result is based on said further information.

3. The method of claim 1 wherein receiving the associated set of recognition results for each of the utterances comprises processing the speech data for the set of similar utterances after receipt thereof.

4. The method of claim 1 wherein receiving the associated set of recognition results for each of the utterances comprises receiving the associated set of recognition results with the speech data corresponding to the recognition results.

5. The method of claim 1 and further comprising:

rendering recognition results for different utterances of the set of the utterances in proximity to each other.

6. The method of claim 5 wherein rendering comprises rendering the recognition results for different utterances of the set of utterances at the same time and before the step of selecting.

7. The method of claim 5 wherein rendering comprises rendering the recognition results for different utterances of the set of utterances successively in time and before the step of selecting.

8. The method of claim 2 wherein selecting the single recognition result comprises removing from consideration at least one of the recognition results based on the further information.

9. The method of claim 2 wherein selecting the single recognition result comprises selecting the single recognition result based on the further information.

10. The method of claim 2 and further comprising:

assigning a measure associated with the single selected recognition result based on the further information.

11. The method of claim 1 and further comprising:

assigning a measure associated with the single selected recognition result based on the presence of the single selected recognition result in the set of recognition results.

12. A method for processing speech data comprising:

receiving speech data corresponding to a set of utterances related to a single task and further information related to context of the utterances for the single task;

selecting a single recognition result based on the further information related to context of the utterances; and

assigning transcription data for each utterance based on the single recognition result.

13. The method of claim 12 wherein receiving includes receiving an associated set of recognition results for at least one of the utterances and selecting comprises selecting the single recognition result from the associated set of recognition results.

14. The method of claim 13 wherein selecting the single recognition result comprises removing from consideration at least one of the recognition results based on the further information.

15. The method of claim 13 wherein selecting the single recognition result comprises selecting the single recognition result based on the further information.

16. The method of claim 13 and further comprising:

assigning a measure associated with the single selected recognition result based on the further information.

17. The method of claim 13 wherein receiving speech data corresponding to a set of utterances includes receiving an associated set of recognition results for each of the utterances.

18. The method of claim 17 and further comprising:

assigning a measure associated with the single selected recognition result based on the presence of the single selected recognition result in the set of recognition results.

19. A computer-readable medium having computer-executable instructions for processing speech data, the computer-readable medium comprising:

a transcription module adapted to receive speech data corresponding to a set of similar utterances related to a single task and at least one of an associated set of recognition results for each of the utterances and further information related to context of the utterances for the single task, and wherein the transcription module is adapted to select a single recognition result based at least one of the sets of recognition results and said further information, the transcription module adapted to assign transcription data for each utterance based on the selected recognition result.

20. The computer readable medium of claim 19 wherein the transcription module is adapted to select the single recognition result by removing from consideration at least one of the recognition results based on the further information.

21. The computer readable medium of claim 19 wherein the transcription module is adapted to assign a measure associated with the single selected recognition result based on the further information.

22. The computer readable medium of claim 19 wherein the transcription module is adapted to assign a measure associated with the single selected recognition result based on the presence of the single selected recognition result in the set of recognition results.