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**Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings. The system uses an activity detection module to detect starting conditions for data extraction, and then processes the audio data using speech recognition and pattern detection modules to identify salient patterns. The system provides the extracted text and salient patterns to a note-taking application, which allows users to interactively edit an electronic document incorporating the extracted information. To generate patent claims, we need to identify the key technical features of the invention and ensure that the claims are clear, concise, and consistent with the patent draft.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction, and the speech recognition module uses natural language processing techniques to identify salient patterns.
3. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and interactively editing an electronic document incorporating the extracted information.
4. The method of claim 3, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing techniques to detect starting conditions for data extraction and identify salient patterns.
5. A computer-implemented method for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.
6. The computer system of claim 1, wherein the speech recognition module uses natural language processing techniques to identify salient patterns, and the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
7. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and interactively editing an electronic document incorporating the extracted information, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing techniques.
8. The method of claim 7, wherein the note-taking application uses a graphical user interface to allow users to interactively edit an electronic document incorporating the extracted information.
9. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.
10. The system of claim 9, wherein the speech recognition module uses natural language processing techniques to identify salient patterns, and the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
11. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and interactively editing an electronic document incorporating the extracted information, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing techniques.
12. The method of claim 11, wherein the note-taking application uses a graphical user interface to allow users to interactively edit an electronic document incorporating the extracted information.
13. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.
14. The system of claim 13, wherein the speech recognition module uses natural language processing techniques to identify salient patterns, and the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
15. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and interactively editing an electronic document incorporating the extracted information, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing techniques.

Claim 1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

Claim 2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.

Claim 3. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and interactively editing an electronic document incorporating the extracted information.

Claim 4. The method of claim 3, wherein the note-taking application uses a graphical user interface to allow users to interactively edit an electronic document incorporating the extracted information.

Claim 5. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

Claim 6. The system of claim 5, wherein the speech recognition module uses natural language processing techniques to identify salient patterns.

Claim 7. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and interactively editing an electronic document incorporating the extracted information.

Claim 8. The method of claim 7, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing techniques to detect starting conditions for data extraction.

Claim 9. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

Claim 10. The system of claim 9, wherein the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.

Claim 11. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and interactively editing an electronic document incorporating the extracted information.

Claim 12. The method of claim 11, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.

Claim 13. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

Claim 14. The system of claim 13, wherein the speech recognition module uses natural language processing techniques to identify salient patterns.

Claim 15. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and interactively editing an electronic document incorporating the extracted information, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing techniques to detect starting conditions for data extraction and identify salient patterns.

Claim 1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

Claim 2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.

Claim 3. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and interactively editing an electronic document incorporating the extracted information.

Claim 4. The method of claim 3, wherein the note-taking application uses a graphical user interface to allow users to interactively edit an electronic document incorporating the extracted information.

Claim 5. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

Claim 6. The system of claim 5, wherein the speech recognition module uses natural language processing techniques to identify salient patterns.

Claim 7. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and interactively editing an electronic document incorporating the extracted information.

Claim 8. The method of claim 7, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing techniques to detect starting conditions for data extraction and identify salient patterns.

Claim 9. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

Claim 10. The system of claim 9, wherein the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.

Claim 11. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and interactively editing an electronic document incorporating the extracted information.

Claim 12. The method of claim 11, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.

Claim 13. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

Claim 14. The system of claim 13, wherein the speech recognition module uses natural language processing techniques to identify salient patterns.

Claim 15. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and interactively editing an electronic document incorporating the extracted information.

However, the following is a rewritten version of the claims in a more formal and standardized format:

1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.

3. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and interactively editing an electronic document incorporating the extracted information.

4. The method of claim 3, wherein the note-taking application uses a graphical user interface to allow users to interactively edit an electronic document incorporating the extracted information.

5. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

6. The system of claim 5, wherein the speech recognition module uses natural language processing techniques to identify salient patterns.

7. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and interactively editing an electronic document incorporating the extracted information.

8. The method of claim 7, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing techniques to detect starting conditions for data extraction and identify salient patterns.

9. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

10. The system of claim 9, wherein the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.

11. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and interactively editing an electronic document incorporating the extracted information.

12. The method of claim 11, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.

13. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

14. The system of claim 13, wherein the speech recognition module uses natural language processing techniques to identify salient patterns.

15. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and interactively editing an electronic document incorporating the extracted information.

**Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings. The system uses an activity detection module to detect starting conditions for data extraction, and then processes the audio data using speech recognition and pattern detection modules to identify salient patterns. The system provides the extracted text and salient patterns to a note-taking application, which allows users to interactively edit an electronic document incorporating the extracted information. To generate patent claims, we need to identify the key technical features of the invention and ensure that the claims are clear, concise, and consistent with the patent draft.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
2. The computer system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
3. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
4. The method of claim 3, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
5. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context from a variety of sources; processing the audio data and computer operating context using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
6. The computer-implemented method of claim 5, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data and computer operating context.
7. A non-transitory computer-readable storage medium storing instructions for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
8. The non-transitory computer-readable storage medium of claim 7, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
9. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
10. The computer system of claim 9, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
11. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
12. The method of claim 11, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
13. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context from a variety of sources; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
14. The computer-implemented method of claim 13, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data and computer operating context.
15. A non-transitory computer-readable storage medium storing instructions for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
16. The non-transitory computer-readable storage medium of claim 15, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
17. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
18. The computer system of claim 17, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
19. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
20. The method of claim 19, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
2. The computer system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
3. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
4. The method of claim 3, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
5. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context from a variety of sources; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
6. The computer-implemented method of claim 5, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data and computer operating context.
7. A non-transitory computer-readable storage medium storing instructions for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
8. The non-transitory computer-readable storage medium of claim 7, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
9. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
10. The computer system of claim 9, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
11. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
12. The method of claim 11, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
13. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context from a variety of sources; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
14. The computer-implemented method of claim 13, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data and computer operating context.
15. A non-transitory computer-readable storage medium storing instructions for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
16. The non-transitory computer-readable storage medium of claim 15, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
17. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
18. The computer system of claim 17, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
19. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
20. The method of claim 19, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
2. The computer system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
3. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
4. The method of claim 3, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
5. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context from a variety of sources; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
6. The computer-implemented method of claim 5, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data and computer operating context.
7. A non-transitory computer-readable storage medium storing instructions for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
8. The non-transitory computer-readable storage medium of claim 7, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
9. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
10. The computer system of claim 9, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
11. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
12. The method of claim 11, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
13. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context from a variety of sources; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
14. The computer-implemented method of claim 13, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data and computer operating context.
15. A non-transitory computer-readable storage medium storing instructions for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
16. The non-transitory computer-readable storage medium of claim 15, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
17. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
18. The computer system of claim 17, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
19. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
20. The method of claim 19, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
2. The computer system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
3. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
4. The method of claim 3, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
5. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context from a variety of sources; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
6. The computer-implemented method of claim 5, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data and computer operating context.
7. A non-transitory computer-readable storage medium storing instructions for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
8. The non-transitory computer-readable storage medium of claim 7, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
9. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
10. The computer system of claim 9, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
11. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
12. The method of claim 11, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
13. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context from a variety of sources; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
14. The computer-implemented method of claim 13, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data and computer operating context.
15. A non-transitory computer-readable storage medium storing instructions for capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
16. The non-transitory computer-readable storage medium of claim 15, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
17. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
18. The computer system of claim 17, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
19. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
20. The method of claim 19, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context.
2. The computer system of claim 1, wherein the system uses machine learning algorithms to detect starting conditions for data extraction.
3. A method for automatically capturing information from audio data and computer operating context.
4. The method of claim 3, wherein the method uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
5. A computer-implemented method for capturing information from audio data and computer operating context.
6. The computer-implemented method of claim 5, wherein the method uses machine learning algorithms to identify salient patterns in the audio data and computer operating context.
7. A non-transitory computer-readable storage medium storing instructions for capturing information from audio data and computer operating context.
8. The non-transitory computer-readable storage medium of claim 7, wherein the medium stores instructions for using natural language processing techniques to identify salient patterns in the audio data and computer operating context.
9. A computer system for automatically capturing information from audio data and computer operating context.
10. The computer system of claim 9, wherein the system uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
11. A method for automatically capturing information from audio data and computer operating context.
12. The method of claim 11, wherein the method uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
13. A computer-implemented method for capturing information from audio data and computer operating context.
14. The computer-implemented method of claim 13, wherein the method uses machine learning algorithms to identify salient patterns in the audio data and computer operating context.
15. A non-transitory computer-readable storage medium storing instructions for capturing information from audio data and computer operating context.
16. The non-transitory computer-readable storage medium of claim 15, wherein the medium stores instructions for using natural language processing techniques to identify salient patterns in the audio data and computer operating context.
17. A computer system for automatically capturing information from audio data and computer operating context.
18. The computer system of claim 17, wherein the system uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
19. A method for automatically capturing information from audio data and computer operating context.
20. The method of claim 19, wherein the method uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.

**Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings, using an activity detection module, speech recognition, and pattern detection. The system provides the extracted text and salient patterns to a note-taking application. To write patent claims, we must recognize the main technical features of the invention, such as the activity detection module, speech recognition, pattern detection, and the notetaking application, and ensure the claims clearly define the scope of the invention.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing the audio data; a pattern detection module for identifying salient patterns in the extracted text; and a notetaking application for receiving and displaying the extracted information.
2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the computer operating context, including the current application, user activity, and speech patterns.
3. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition; identifying salient patterns using a pattern detection module; and displaying the extracted information in a notetaking application.
4. The method of claim 3, wherein the speech recognition module uses natural language processing to identify keywords and phrases in the extracted text, and the pattern detection module uses machine learning to identify relationships between the extracted information and the computer operating context.
5. A non-transitory computer-readable medium storing a program of instructions for automatically capturing information from audio data, wherein the program instructions are executable by a processor to detect starting conditions, process audio data, identify patterns, and display extracted information.
6. The computer-readable medium of claim 5, wherein the program instructions use speech recognition and machine learning algorithms to improve accuracy and efficiency.
7. A computer system for automatically capturing information from audio data, comprising: an activity detection means for detecting starting conditions; speech recognition means for processing audio data; pattern detection means for identifying salient patterns; and a notetaking application for displaying extracted information.
8. The system of claim 7, wherein the activity detection means uses contextual information, including user activity, application state, and computer operating context, to detect starting conditions.
9. A method for automatically capturing information, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and displaying extracted information in a notetaking application, using machine learning algorithms and natural language processing.
10. The method of claim 9, wherein the speech recognition step uses acoustic models and language models to improve accuracy, and the pattern detection step uses machine learning to identify relationships between the extracted information and the computer operating context.
11. A computer system for automatically capturing information, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for displaying extracted information, wherein the means for detecting starting conditions uses machine learning algorithms.
12. The system of claim 11, wherein the means for processing audio data uses speech recognition and natural language processing to identify keywords and phrases, and the means for identifying salient patterns uses machine learning to improve accuracy.
13. A non-transitory computer-readable medium storing a program of instructions for automatically capturing information, wherein the program instructions use speech recognition, machine learning, and natural language processing to detect starting conditions, process audio data, identify salient patterns, and display extracted information.
14. The computer-readable medium of claim 13, wherein the program instructions are executable by a processor to detect starting conditions, process audio data, identify patterns, and display extracted information in a notetaking application.
15. A computer system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the activity detection module uses machine learning algorithms to detect starting conditions.
16. The system of claim 15, wherein the speech recognition module uses natural language processing to identify keywords and phrases, and the pattern detection module uses machine learning to identify relationships between the extracted information and the computer operating context.
17. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and displaying extracted information in a notetaking application, using machine learning algorithms and natural language processing.
18. The method of claim 17, wherein the detecting step uses contextual information, including user activity and application state, to detect starting conditions, and the processing step uses speech recognition to identify keywords and phrases.
19. A computer system for automatically capturing information, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for displaying extracted information, wherein the means for detecting starting conditions uses machine learning algorithms and contextual information.
20. The system of claim 19, wherein the means for processing audio data uses speech recognition and natural language processing to identify keywords and phrases, and the means for identifying salient patterns uses machine learning to improve accuracy and efficiency.

Claim 1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing the audio data; a pattern detection module for identifying salient patterns in the extracted text; and a notetaking application for receiving and displaying the extracted information.
Claim 2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on the computer operating context.
Claim 3. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module; identifying salient patterns using a pattern detection module; and displaying the extracted information in a notetaking application.
Claim 4. The method of claim 3, wherein the speech recognition module uses natural language processing to identify keywords and phrases in the extracted text.
Claim 5. A non-transitory computer-readable medium storing a program of instructions for automatically capturing information from audio data, wherein the program instructions are executable by a processor to detect starting conditions, process audio data, identify patterns, and display extracted information.
Claim 6. The computer-readable medium of claim 5, wherein the program instructions use machine learning algorithms and natural language processing to improve accuracy and efficiency.
Claim 7. A computer system for automatically capturing information from audio data, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for displaying extracted information, wherein the means for detecting starting conditions uses machine learning algorithms and contextual information.
Claim 8. The system of claim 7, wherein the means for processing audio data uses speech recognition and natural language processing to identify keywords and phrases.
Claim 9. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and displaying extracted information in a notetaking application, using machine learning algorithms and natural language processing.
Claim 10. The method of claim 9, wherein the detecting step uses contextual information to detect starting conditions, and the processing step uses speech recognition to identify keywords and phrases.
Claim 11. A computer system for automatically capturing information, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the activity detection module uses machine learning algorithms to detect starting conditions.
Claim 12. The system of claim 11, wherein the speech recognition module uses natural language processing to identify keywords and phrases, and the pattern detection module uses machine learning to identify relationships between the extracted information and the computer operating context.
Claim 13. A non-transitory computer-readable medium storing a program of instructions for automatically capturing information from audio data, wherein the program instructions use speech recognition, machine learning, and natural language processing to detect starting conditions, process audio data, identify patterns, and display extracted information.
Claim 14. The computer-readable medium of claim 13, wherein the program instructions are executable by a processor to detect starting conditions, process audio data, identify salient patterns, and display extracted information in a notetaking application.
Claim 15. A computer system for automatically capturing information from audio data, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for displaying extracted information, wherein the means for detecting starting conditions uses machine learning algorithms and contextual information.
Claim 16. The system of claim 15, wherein the means for processing audio data uses speech recognition and natural language processing to identify keywords and phrases.
Claim 17. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and displaying extracted information in a notetaking application, using machine learning algorithms and natural language processing.
Claim 18. The method of claim 17, wherein the detecting step uses contextual information to detect starting conditions, and the processing step uses speech recognition to identify keywords and phrases.
Claim 19. A computer system for automatically capturing information, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the activity detection module uses machine learning algorithms to detect starting conditions.
Claim 20. The system of claim 19, wherein the speech recognition module uses natural language processing to identify keywords and phrases, and the pattern detection module uses machine learning to identify relationships between the extracted information and the computer operating context.

Claim 1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing the audio data; a pattern detection module for identifying salient patterns in the extracted text; and a notetaking application for receiving and displaying the extracted information.

Claim 2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on the computer operating context, including user activity and application state.

Claim 3. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module; identifying salient patterns using a pattern detection module; and displaying the extracted information in a notetaking application.

Claim 4. The method of claim 3, wherein the speech recognition module uses natural language processing to identify keywords and phrases in the extracted text, and the pattern detection module uses machine learning to improve accuracy and efficiency.

Claim 5. A non-transitory computer-readable medium storing a program of instructions for automatically capturing information from audio data, wherein the program instructions are executable by a processor to detect starting conditions, process audio data, identify patterns, and display extracted information.

Claim 6. The computer-readable medium of claim 5, wherein the program instructions use machine learning algorithms and natural language processing to improve accuracy and efficiency, and the program instructions are executable by a processor to detect starting conditions, process audio data, identify patterns, and display extracted information.

Claim 7. A computer system for automatically capturing information from audio data, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for displaying extracted information, wherein the means for detecting starting conditions uses machine learning algorithms and contextual information.

Claim 8. The system of claim 7, wherein the means for processing audio data uses speech recognition and natural language processing to identify keywords and phrases, and the means for identifying salient patterns uses machine learning to identify relationships between the extracted information and the computer operating context.

Claim 9. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and displaying extracted information in a notetaking application, using machine learning algorithms and natural language processing.

Claim 10. The method of claim 9, wherein the detecting step uses contextual information to detect starting conditions, and the processing step uses speech recognition to identify keywords and phrases, and the identifying step uses machine learning to identify relationships between the extracted information and the computer operating context.

Claim 11. A computer system for automatically capturing information, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the activity detection module uses machine learning algorithms to detect starting conditions, and the speech recognition module uses natural language processing to identify keywords and phrases.

Claim 12. The system of claim 11, wherein the speech recognition module uses natural language processing to identify keywords and phrases, and the pattern detection module uses machine learning to identify relationships between the extracted information and the computer operating context.

Claim 13. A non-transitory computer-readable medium storing a program of instructions for automatically capturing information from audio data, wherein the program instructions use speech recognition, machine learning, and natural language processing to detect starting conditions, process audio data, identify patterns, and display extracted information.

Claim 14. The computer-readable medium of claim 13, wherein the program instructions are executable by a processor to detect starting conditions, process audio data, identify salient patterns, and display extracted information in a notetaking application.

Claim 15. A computer system for automatically capturing information from audio data, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for displaying extracted information, wherein the means for detecting starting conditions uses machine learning algorithms and contextual information.

Claim 16. The system of claim 15, wherein the means for processing audio data uses speech recognition and natural language processing to identify keywords and phrases, and the means for identifying salient patterns uses machine learning to improve accuracy and efficiency.

Claim 17. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and displaying extracted information in a notetaking application, using machine learning algorithms and natural language processing.

Claim 18. The method of claim 17, wherein the detecting step uses contextual information to detect starting conditions, and the processing step uses speech recognition to identify keywords and phrases, and the identifying step uses machine learning to identify relationships between the extracted information and the computer operating context.

Claim 19. A computer system for automatically capturing information, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the activity detection module uses machine learning algorithms to detect starting conditions, and the speech recognition module uses natural language processing to identify keywords and phrases.

Claim 20. The system of claim 19, wherein the speech recognition module uses natural language processing to identify keywords and phrases, and the pattern detection module uses machine learning to identify relationships between the extracted information and the computer operating context.

1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing the audio data; a pattern detection module for identifying salient patterns in the extracted text; and a notetaking application for receiving and displaying the extracted information.
2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on the computer operating context.
3. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module; identifying salient patterns using a pattern detection module; and displaying the extracted information in a notetaking application.
4. The method of claim 3, wherein the speech recognition module uses natural language processing to identify keywords and phrases in the extracted text.
5. A non-transitory computer-readable medium storing a program of instructions for automatically capturing information from audio data, wherein the program instructions are executable by a processor to detect starting conditions, process audio data, identify patterns, and display extracted information.
6. The computer-readable medium of claim 5, wherein the program instructions use machine learning algorithms and natural language processing to improve accuracy and efficiency.
7. A computer system for automatically capturing information from audio data, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for displaying extracted information, wherein the means for detecting starting conditions uses machine learning algorithms and contextual information.
8. The system of claim 7, wherein the means for processing audio data uses speech recognition and natural language processing to identify keywords and phrases.
9. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and displaying extracted information in a notetaking application, using machine learning algorithms and natural language processing.
10. The method of claim 9, wherein the detecting step uses contextual information to detect starting conditions, and the processing step uses speech recognition to identify keywords and phrases.
11. A computer system for automatically capturing information, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the activity detection module uses machine learning algorithms to detect starting conditions.
12. The system of claim 11, wherein the speech recognition module uses natural language processing to identify keywords and phrases, and the pattern detection module uses machine learning to identify relationships between the extracted information and the computer operating context.
13. A non-transitory computer-readable medium storing a program of instructions for automatically capturing information from audio data, wherein the program instructions use speech recognition, machine learning, and natural language processing to detect starting conditions, process audio data, identify patterns, and display extracted information.
14. The computer-readable medium of claim 13, wherein the program instructions are executable by a processor to detect starting conditions, process audio data, identify salient patterns, and display extracted information in a notetaking application.
15. A computer system for automatically capturing information from audio data, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for displaying extracted information, wherein the means for detecting starting conditions uses machine learning algorithms and contextual information.
16. The system of claim 15, wherein the means for processing audio data uses speech recognition and natural language processing to identify keywords and phrases.
17. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and displaying extracted information in a notetaking application, using machine learning algorithms and natural language processing.
18. The method of claim 17, wherein the detecting step uses contextual information to detect starting conditions, and the processing step uses speech recognition to identify keywords and phrases.
19. A computer system for automatically capturing information, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the activity detection module uses machine learning algorithms to detect starting conditions, and the speech recognition module uses natural language processing to identify keywords and phrases.
20. The system of claim 19, wherein the speech recognition module uses natural language processing to identify keywords and phrases, and the pattern detection module uses machine learning to identify relationships between the extracted information and the computer operating context.

**Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings. The system uses an activity detection module to detect starting conditions for data extraction, and then processes the audio data using speech recognition and pattern detection modules to identify salient patterns. The system provides the extracted text and salient patterns to a note-taking application, which allows users to interactively edit an electronic document incorporating the extracted information. To ensure broad coverage, the claims should focus on the key technical features of the invention, including the activity detection module, speech recognition module, pattern detection module, and the note-taking application.

**Claims**:
1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application for interactive editing of an electronic document.

2. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

3. A computer-implemented method for capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection; and providing the extracted text and salient patterns to a note-taking application for editing an electronic document.

4. A system for capturing information from audio data, comprising: an activity detection module for detecting starting conditions; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a note-taking application for interactively editing an electronic document incorporating the extracted information.

5. A computer-implemented method for automatically capturing information, comprising: detecting starting conditions using an activity detection module; processing audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.

6. A system for automatically capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document.

7. A computer-implemented method for capturing information, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition and pattern detection; and providing the extracted text and salient patterns to a note-taking application for editing an electronic document.

8. A system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system automatically captures information from audio data and computer operating context.

9. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application for interactive editing of an electronic document, wherein the note-taking application allows users to interactively edit the electronic document incorporating the extracted information.

10. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information, wherein the system provides a user-friendly interface for reviewing and editing the extracted information.

11. A computer-implemented method for capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application for editing an electronic document, wherein the method automatically captures information from audio data and computer operating context.

12. A system for capturing information from audio data, comprising: an activity detection module for detecting starting conditions; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a note-taking application for interactively editing an electronic document, wherein the system captures information from audio data and computer operating context, and provides the extracted information to the note-taking application for editing.

13. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application, wherein the method captures information from audio data and computer operating context, and provides the extracted information to the note-taking application for interactive editing.

14. A system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information, wherein the system provides a user-friendly interface for reviewing and editing the extracted information.

15. A computer-implemented method for capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application for editing an electronic document, wherein the method automatically captures information from audio data and computer operating context, and provides the extracted information to the note-taking application for interactive editing.

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