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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 notetaking 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 notetaking application to provide the extracted text and salient patterns to a user.
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.
3. A 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; and providing the extracted text and salient patterns to a notetaking application.
4. The method of claim 3, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context, including the user's location, time, and application usage.
5. 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 providing the extracted text to a notetaking application.
6. The method of claim 5, wherein the speech recognition module uses natural language processing to identify keywords and phrases.
7. A system for automatically capturing audio data, comprising: an activity detection module; a speech recognition module; and a notetaking application, wherein the system provides the extracted text and salient patterns to the user.
8. The system of claim 7, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
9. A method for automatically capturing 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 notetaking application.
10. The method of claim 9, wherein the pattern detection module uses machine learning algorithms to identify relevant information.
11. A computer system for capturing information from audio data, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a notetaking application to provide the extracted text and salient patterns to the user.
12. The system of claim 11, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context.
13. A method for capturing 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; and providing the extracted text and salient patterns to a notetaking application.
14. The method of claim 13, wherein the speech recognition module uses natural language processing to identify keywords and phrases.
15. A computer-implemented system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a notetaking application, wherein the system provides the extracted text and salient patterns to the user.

**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 notetaking application to provide the extracted text and salient patterns to a user.
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.
3. A 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; and providing the extracted text and salient patterns to a notetaking application.
4. The method of claim 3, wherein the speech recognition module uses natural language processing to identify keywords and phrases.
5. A computer-implemented method for capturing audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition; and providing the extracted text to a notetaking application.
6. The method of claim 5, wherein the activity detection module detects starting conditions for data extraction based on the user's location, time, and application usage.
7. A system for automatically capturing audio data, comprising: an activity detection module; a speech recognition module; and a notetaking application, wherein the system provides the extracted text and salient patterns to the user.
8. The system of claim 7, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
9. A method for 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 notetaking application.
10. The method of claim 9, wherein the pattern detection module uses machine learning algorithms to identify relevant information.
11. A computer system for capturing information from audio data, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a notetaking application to provide the extracted text and salient patterns to the user.
12. The system of claim 11, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context.
13. A method for capturing 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; and providing the extracted text and salient patterns to a notetaking application.
14. The method of claim 13, wherein the speech recognition module uses natural language processing to identify keywords and phrases.
15. A computer-implemented system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a notetaking application, wherein the system provides the extracted text and salient patterns to the user.

**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, allowing 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-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 capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted text and salient patterns to a note-taking application.

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 information to a note-taking application for interactive editing.

4. A system for automatic information capture, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system captures information from audio data and provides the extracted text and salient patterns for interactive editing.

5. A method for automatic information capture from audio data, comprising: detecting starting conditions; processing the audio data; and providing the extracted information to a note-taking application, wherein the method captures information from audio data and provides the extracted text and salient patterns for interactive editing.

6. A computer-implemented 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 captures information from audio data and provides the extracted text and salient patterns to the note-taking application.

7. A 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 interactive editing of an electronic document.

8. A system for automatic information capture, comprising: a computer-implemented activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system captures information from audio data and provides the extracted text and salient patterns for interactive editing.

9. 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 interactive editing of an electronic document.

10. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

11. A method for automatic information capture from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection; and providing the extracted information to a note-taking application for interactive editing of an electronic document.

12. A computer-implemented 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 captures information from audio data and provides the extracted text and salient patterns for interactive editing.

13. A system for automatic information capture, comprising: a computer-implemented activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

14. A 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 interactive editing of an electronic document.

15. A computer-implemented system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

Claim 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; and providing the extracted text and salient patterns to a note-taking application for interactive editing of an electronic document.

Claim 2. A system for capturing information from audio data, 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 provide the extracted text and salient patterns for interactive editing.

Claim 3. A method for automatic information capture from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection; and providing the extracted information to a note-taking application for interactive editing of an electronic document.

Claim 4. A computer-implemented system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

Claim 5. A system for automatic information capture, comprising: a computer-implemented activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

Claim 6. A 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 interactive editing of an electronic document.

Claim 7. A computer-implemented system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

Claim 8. A system for automatic information capture from audio data, comprising: a computer-implemented activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system captures information from audio data and provides the extracted text and salient patterns for interactive editing.

Claim 9. A method for automatic information capture from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection; and providing the extracted information to a note-taking application for interactive editing of an electronic document.

Claim 10. A computer-implemented system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

Claim 11. A system for capturing information from audio data, 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 provide the extracted text and salient patterns for interactive editing.

Claim 12. A method for automatic information capture from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection; and providing the extracted information to a note-taking application for interactive editing of an electronic document.

Claim 13. A computer-implemented system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

Claim 14. A system for automatic information capture, comprising: a computer-implemented activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

Claim 15. A 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 interactive editing of an electronic document.

Claim 16. A computer-implemented system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

Claim 17. A system for automatic information capture from audio data, comprising: a computer-implemented activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

Claim 18. A method for automatic information capture from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection; and providing the extracted information to a note-taking application for interactive editing of an electronic document.

Claim 19. A computer-implemented system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

Claim 20. A system for capturing information from audio data, 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 provide the extracted text and salient patterns for interactive editing.

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; and providing the extracted text and salient patterns to a note-taking application for interactive editing of an electronic document.

2. A system for capturing information from audio data, 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 provide the extracted text and salient patterns for interactive editing.

3. A method for automatic information capture from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection; and providing the extracted information to a note-taking application for interactive editing of an electronic document.

4. A computer-implemented system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

5. A system for automatic information capture, comprising: a computer-implemented activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

6. A 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 interactive editing of an electronic document.

7. A computer-implemented system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

8. A system for automatic information capture from audio data, comprising: a computer-implemented activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

9. A method for automatic information capture from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection; and providing the extracted information to a note-taking application for interactive editing of an electronic document.

10. A computer-implemented system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

11. A system for capturing information from audio data, 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 provide the extracted text and salient patterns for interactive editing.

12. A method for automatic information capture from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection; and providing the extracted information to a note-taking application for interactive editing of an electronic document.

13. A computer-implemented system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

14. A system for automatic information capture, comprising: a computer-implemented activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

15. A 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 interactive editing of an electronic document.

16. A computer-implemented system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

17. A system for automatic information capture from audio data, comprising: a computer-implemented activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

18. A method for automatic information capture from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection; and providing the extracted information to a note-taking application for interactive editing of an electronic document.

19. A computer-implemented system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to provide the extracted text and salient patterns for interactive editing.

20. A system for capturing information from audio data, 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 provide the extracted text and salient patterns for interactive editing.

Claim 1: A computer-implemented method for automatically capturing information from audio data, comprising detecting starting conditions, processing audio data, and providing extracted text to a note-taking application.

Claim 2: 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.

Claim 3: A method for automatic information capture, comprising detecting starting conditions, processing audio data, and providing extracted information to a note-taking application.

Claim 4: A computer-implemented system, comprising an activity detection module, a speech recognition module, a pattern detection module, and a note-taking application.

Claim 5: A system for automatic information capture, comprising a computer-implemented activity detection module, a speech recognition module, a pattern detection module, and a note-taking application.

Claim 6: A method for capturing information from audio data, comprising detecting starting conditions, processing audio data, and providing extracted text to a note-taking application.

Claim 7: A computer-implemented system, comprising an activity detection module, a speech recognition module, a pattern detection module, and a note-taking application.

Claim 8: A system for automatic information capture, comprising a computer-implemented activity detection module, a speech recognition module, a pattern detection module, and a note-taking application.

Claim 9: A method for automatic information capture, comprising detecting starting conditions, processing audio data, and providing extracted information to a note-taking application.

Claim 10: A computer-implemented system, comprising an activity detection module, a speech recognition module, a pattern detection module, and a note-taking application.

Claim 11: 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.

Claim 12: A method for automatic information capture, comprising detecting starting conditions, processing audio data, and providing extracted information to a note-taking application.

Claim 13: A computer-implemented system, comprising an activity detection module, a speech recognition module, a pattern detection module, and a note-taking application.

Claim 14: A system for automatic information capture, comprising a computer-implemented activity detection module, a speech recognition module, a pattern detection module, and a note-taking application.

Claim 15: A method for capturing information from audio data, comprising detecting starting conditions, processing audio data, and providing extracted text to a note-taking application.

Claim 16: A computer-implemented system, comprising an activity detection module, a speech recognition module, a pattern detection module, and a note-taking application.

Claim 17: A system for automatic information capture, comprising a computer-implemented activity detection module, a speech recognition module, a pattern detection module, and a note-taking application.

Claim 18: A method for automatic information capture, comprising detecting starting conditions, processing audio data, and providing extracted information to a note-taking application.

Claim 19: A computer-implemented system, comprising an activity detection module, a speech recognition module, a pattern detection module, and a note-taking application.

Claim 20: 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.

**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 notetaking application, which allows users to interactively edit an electronic document incorporating the extracted information.

**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 notetaking application, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on user behavior, such as conversation topics, speaker identification, and meeting summaries.
3. 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 audio data; and a pattern detection module for identifying salient patterns in the extracted text.
4. The system of claim 3, wherein the activity detection module uses natural language processing to detect starting conditions for data extraction, and the pattern detection module uses deep learning algorithms to identify salient patterns.
5. A method for providing the extracted text and salient patterns to a notetaking application, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted information to a notetaking application.
6. The method of claim 5, wherein the speech recognition module uses machine learning algorithms to process audio data, and the pattern detection module uses natural language processing to identify salient patterns.
7. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application.
8. The system of claim 7, wherein the activity detection module uses user behavior to detect starting conditions for data extraction, and the pattern detection module uses deep learning algorithms to identify salient patterns.
9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted information to a notetaking application.
10. The method of claim 9, wherein the speech recognition module uses natural language processing to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns.
11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system provides the extracted text and salient patterns to the notetaking application.
12. The system of claim 11, wherein the activity detection module uses user behavior to detect starting conditions for data extraction, and the pattern detection module uses deep learning algorithms to identify salient patterns.
13. A method for providing the extracted text and salient patterns to a notetaking application, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted information to the notetaking application.
14. The method of claim 13, wherein the speech recognition module uses machine learning algorithms to process audio data, and the pattern detection module uses natural language processing to identify salient patterns.
15. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system uses machine learning algorithms to detect starting conditions for data extraction and identify salient patterns.

**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 audio data using a speech recognition module; identifying salient patterns using a pattern detection module; and providing the extracted text and salient patterns to a notetaking application.
2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on user behavior.
3. 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 audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.
4. The system of claim 3, wherein the pattern detection module uses deep learning algorithms to identify salient patterns in the extracted text.
5. A method for providing the extracted text and salient patterns to a notetaking application, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using a speech recognition module; identifying salient patterns using a pattern detection module; and providing the extracted information to the notetaking application.
6. The method of claim 5, wherein the speech recognition module uses natural language processing to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns.
7. A computer-implemented 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 audio data; a pattern detection module for identifying salient patterns; and a notetaking application for providing the extracted text and salient patterns to a user.
8. The system of claim 7, wherein the activity detection module uses user behavior to detect starting conditions for data extraction, and the pattern detection module uses deep learning algorithms to identify salient patterns.
9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted information to a notetaking application.
10. The method of claim 9, wherein the speech recognition module uses machine learning algorithms to process audio data, and the pattern detection module uses natural language processing to identify salient patterns.
11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system provides the extracted text and salient patterns to the notetaking application.
12. The system of claim 11, wherein the activity detection module uses user behavior to detect starting conditions for data extraction, and the pattern detection module uses deep learning algorithms to identify salient patterns.
13. A method for providing the extracted text and salient patterns to a notetaking application, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted information to the notetaking application.
14. The method of claim 13, wherein the speech recognition module uses natural language processing to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns.
15. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system uses machine learning algorithms to detect starting conditions for data extraction and identify salient patterns.

**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 audio data using a speech recognition module; identifying salient patterns using a pattern detection module; and providing the extracted text and salient patterns to a notetaking application.
2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on user behavior.
3. 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 audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.
4. The system of claim 3, wherein the pattern detection module uses deep learning algorithms to identify salient patterns in the extracted text.
5. A method for providing the extracted text and salient patterns to a notetaking application, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using a speech recognition module; identifying salient patterns using a pattern detection module; and providing the extracted information to the notetaking application.
6. The method of claim 5, wherein the speech recognition module uses natural language processing to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns.
7. A computer-implemented 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 audio data; a pattern detection module for identifying salient patterns; and a notetaking application for providing the extracted text and salient patterns to a user.
8. The system of claim 7, wherein the activity detection module uses user behavior to detect starting conditions for data extraction, and the pattern detection module uses deep learning algorithms to identify salient patterns.
9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted information to a notetaking application.
10. The method of claim 9, wherein the speech recognition module uses machine learning algorithms to process audio data, and the pattern detection module uses natural language processing to identify salient patterns.
11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system provides the extracted text and salient patterns to the notetaking application.
12. The system of claim 11, wherein the activity detection module uses user behavior to detect starting conditions for data extraction, and the pattern detection module uses deep learning algorithms to identify salient patterns.
13. A method for providing the extracted text and salient patterns to a notetaking application, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted information to the notetaking application.
14. The method of claim 13, wherein the speech recognition module uses natural language processing to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns.
15. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system uses machine learning algorithms to detect starting conditions for data extraction and identify salient patterns.

**Claims**:
1. A computer-implemented method 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 audio data; a pattern detection module for identifying salient patterns; and a notetaking application for providing the extracted text and salient patterns to a user.
2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on user behavior.
3. 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 audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.
4. The system of claim 3, wherein the pattern detection module uses deep learning algorithms to identify salient patterns in the extracted text.
5. A method for providing the extracted text and salient patterns to a notetaking application, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using a speech recognition module; identifying salient patterns using a pattern detection module; and providing the extracted information to the notetaking application.
6. The method of claim 5, wherein the speech recognition module uses natural language processing to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns.
7. A computer-implemented 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 audio data; a pattern detection module for identifying salient patterns; and a notetaking application for providing the extracted text and salient patterns to a user.
8. The system of claim 7, wherein the activity detection module uses user behavior to detect starting conditions for data extraction, and the pattern detection module uses deep learning algorithms to identify salient patterns.
9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted information to a notetaking application.
10. The method of claim 9, wherein the speech recognition module uses machine learning algorithms to process audio data, and the pattern detection module uses natural language processing to identify salient patterns.
11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system provides the extracted text and salient patterns to the notetaking application.
12. The system of claim 11, wherein the activity detection module uses user behavior to detect starting conditions for data extraction, and the pattern detection module uses deep learning algorithms to identify salient patterns.
13. A method for providing the extracted text and salient patterns to a notetaking application, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted information to the notetaking application.
14. The method of claim 13, wherein the speech recognition module uses natural language processing to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns.
15. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system uses machine learning algorithms to detect starting conditions for data extraction and identify salient patterns.

**Claims**:
1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted information to a notetaking application.
2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on user behavior.
3. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system provides the extracted text and salient patterns to the notetaking application.
4. The system of claim 3, wherein the pattern detection module uses deep learning algorithms to identify salient patterns in the extracted text.
5. A method for providing the extracted text and salient patterns to a notetaking application, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted information to the notetaking application.
6. The method of claim 5, wherein the speech recognition module uses natural language processing to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns.
7. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system uses machine learning algorithms to detect starting conditions for data extraction and identify salient patterns.
8. The system of claim 7, wherein the activity detection module uses user behavior to detect starting conditions for data extraction, and the pattern detection module uses deep learning algorithms to identify salient patterns.
9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted information to a notetaking application.
10. The method of claim 9, wherein the speech recognition module uses machine learning algorithms to process audio data, and the pattern detection module uses natural language processing to identify salient patterns.
11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system provides the extracted text and salient patterns to the notetaking application.
12. The system of claim 11, wherein the activity detection module uses user behavior to detect starting conditions for data extraction, and the pattern detection module uses deep learning algorithms to identify salient patterns.
13. A method for providing the extracted text and salient patterns to a notetaking application, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted information to the notetaking application.
14. The method of claim 13, wherein the speech recognition module uses natural language processing to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns.
15. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system uses machine learning algorithms to detect starting conditions for data extraction and identify salient patterns.

**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 notetaking 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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.

2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

3. A 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; and providing the extracted text and salient patterns to a notetaking application.

4. The method of claim 3, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including user interactions, conversation topics, and meeting summaries.

5. 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 a notetaking application to provide the extracted text and salient patterns to a user.

6. The system of claim 1, wherein the speech recognition module uses natural language processing algorithms to process the audio data, and the notetaking 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: 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 notetaking application.

8. The method of claim 7, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data, and the notetaking application provides a user interface for users to interact with 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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.

10. The system of claim 9, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversation topics and meeting summaries, and the notetaking 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: 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 notetaking application.

12. The method of claim 11, wherein the speech recognition module uses natural language processing algorithms to process the audio data, and the notetaking application provides a user interface for users to interact with the extracted information.

13. 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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.

14. The system of claim 13, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data, and the notetaking 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: 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 notetaking application.

**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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
2. The system of claim 1, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversation topics and meeting summaries.
3. A 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; and providing the extracted text and salient patterns to a notetaking application.
4. The method of claim 3, wherein the speech recognition module uses natural language processing algorithms to process the audio data, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
5. 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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
6. The system of claim 5, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data, and the notetaking application provides a user interface for users to interact with the extracted information.
7. A 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; and providing the extracted text and salient patterns to a notetaking application.
8. The method of claim 7, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversation topics and meeting summaries.
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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
10. The system of claim 9, wherein the speech recognition module uses natural language processing algorithms to process the audio data, and the notetaking 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: 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 notetaking application.
12. The method of claim 11, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data, and the notetaking application provides a user interface for users to interact with the extracted information.
13. 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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
14. The system of claim 13, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversation topics and meeting summaries.
15. A 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; and providing the extracted text and salient patterns to a notetaking 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; and providing the extracted text and salient patterns to a notetaking application.
2. The method of claim 1, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversation topics and meeting summaries, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
3. 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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
4. The system of claim 3, wherein the speech recognition module uses natural language processing algorithms to process the audio data, and the notetaking application provides a user interface for users to interact with the extracted information.
5. A 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; and providing the extracted text and salient patterns to a notetaking application.
6. The method of claim 5, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
7. 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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
8. The system of claim 7, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversation topics and meeting summaries, and the notetaking application provides a user interface for users to interact with the extracted information.
9. A 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; and providing the extracted text and salient patterns to a notetaking application.
10. The method of claim 9, wherein the speech recognition module uses natural language processing algorithms to process the audio data, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
11. 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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
12. The system of claim 11, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data, and the notetaking application provides a user interface for users to interact with the extracted information.
13. A 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; and providing the extracted text and salient patterns to a notetaking application.
14. The method of claim 13, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversation topics and meeting summaries, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
15. 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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.

**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; and providing the extracted text and salient patterns to a notetaking application.
2. The method of claim 1, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversation topics and meeting summaries.
3. 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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
4. The system of claim 3, wherein the speech recognition module uses natural language processing algorithms to process the audio data, and the notetaking application provides a user interface for users to interact with the extracted information.
5. A 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; and providing the extracted text and salient patterns to a notetaking application.
6. The method of claim 5, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
7. 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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
8. The system of claim 7, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversation topics and meeting summaries.
9. A 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; and providing the extracted text and salient patterns to a notetaking application.
10. The method of claim 9, wherein the speech recognition module uses natural language processing algorithms to process the audio data, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
11. 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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
12. The system of claim 11, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data, and the notetaking application provides a user interface for users to interact with the extracted information.
13. A 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; and providing the extracted text and salient patterns to a notetaking application.
14. The method of claim 13, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversation topics and meeting summaries.
15. 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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.

**Claims**:
1. A computer-implemented method for automatically capturing information from audio data and computer operating context.
2. The method of claim 1, wherein the method comprises detecting starting conditions for data extraction.
3. A computer system for automatically capturing information from audio data and computer operating context.
4. The system of claim 3, wherein the system comprises an activity detection module.
5. A method for automatically capturing information from audio data and computer operating context, comprising detecting starting conditions for data extraction.
6. The method of claim 5, wherein the method comprises processing the audio data using speech recognition and pattern detection modules.
7. A computer system for automatically capturing information from audio data and computer operating context, comprising a speech recognition module.
8. The system of claim 7, wherein the system comprises a pattern detection module.
9. A method for automatically capturing information from audio data and computer operating context, comprising providing the extracted text and salient patterns to a notetaking application.
10. The method of claim 9, wherein the method comprises using machine learning algorithms to identify salient patterns in the audio data.
11. A computer system for automatically capturing information from audio data and computer operating context, comprising a notetaking application.
12. The system of claim 11, wherein the system comprises a user interface for users to interact with the extracted information.
13. A method for automatically capturing information from audio data and computer operating context, comprising detecting starting conditions for data extraction based on audio data and computer operating context.
14. The method of claim 13, wherein the method comprises processing the audio data using natural language processing algorithms.
15. A computer system for automatically capturing information from audio data and computer operating context, comprising an activity detection module, a speech recognition module, a pattern detection module, and a notetaking application.

**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, allowing 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-based 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.
2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction, and provides the extracted text and salient patterns to the note-taking application.
3. A 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; and providing the extracted text and salient patterns to a note-taking application.
4. The method of claim 3, wherein the activity detection module detects starting conditions for data extraction based on user input, such as voice commands or keyboard input, and provides the extracted text and salient patterns to the note-taking application for further processing.
5. A computer-readable medium storing instructions for executing the method of claim 3, wherein the instructions are executable by a processor to detect starting conditions for data extraction, and provide the extracted text and salient patterns to the note-taking application.
6. The system of claim 1, further comprising a user interface to display the extracted text and salient patterns, and allow users to interactively edit the electronic document.
7. 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; providing the extracted text and salient patterns to a note-taking application; and displaying the extracted information on a user interface.
8. The system of claim 1, wherein the note-taking application allows users to annotate and organize the extracted text and salient patterns.
9. A computer-based system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application for further processing.
10. The method of claim 3, wherein the activity detection module detects starting conditions for data extraction based on machine learning algorithms, and provides the extracted text and salient patterns to the note-taking application for interactive editing.
11. A computer-readable medium storing instructions for executing the method of claim 3, wherein the instructions are executable by a processor to detect starting conditions for data extraction, and provide the extracted text and salient patterns to the note-taking application.
12. The system of claim 1, further comprising a natural language processing module to analyze the extracted text and salient patterns, and provide a summary of the extracted information to the note-taking application.
13. 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; providing the extracted text and salient patterns to a note-taking application; and displaying the extracted information on a user interface.
14. The system of claim 1, wherein the note-taking application allows users to organize and prioritize the extracted text and salient patterns, and provides a search function to retrieve specific information.
15. A computer-based 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.

**Claims**:
1. A computer-based 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.
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: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; providing the extracted text and salient patterns to a note-taking application; and displaying the extracted information on a user interface.
4. The method of claim 3, wherein the activity detection module detects starting conditions for data extraction based on user input, such as voice commands or keyboard input.
5. A computer-readable medium storing instructions for executing the method of claim 3, wherein the instructions are executable by a processor to detect starting conditions for data extraction, and provide the extracted text and salient patterns to a note-taking application.
6. The system of claim 1, further comprising a user interface to display the extracted text and salient patterns, and allow users to interactively edit the electronic document.
7. A computer-based 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 the extracted text and salient patterns to the note-taking application for further processing.
8. The method of claim 3, wherein the activity detection module detects starting conditions for data extraction based on machine learning algorithms, and provides the extracted text and salient patterns to the note-taking application for interactive editing.
9. A computer-readable medium storing instructions for executing the method of claim 3, wherein the instructions are executable by a processor to detect starting conditions for data extraction, and provide the extracted text and salient patterns to a note-taking application.
10. The system of claim 1, wherein the note-taking application allows users to annotate and organize the extracted text and salient patterns, and provides a search function to retrieve specific information.
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; providing the extracted text and salient patterns to a note-taking application; and displaying the extracted information on a user interface.
12. The system of claim 1, further comprising a natural language processing module to analyze the extracted text and salient patterns, and provide a summary of the extracted information to the note-taking application.
13. A computer-based 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 the extracted text and salient patterns to the note-taking application for further processing.
14. The method of claim 3, wherein the activity detection module detects starting conditions for data extraction based on user input, such as voice commands or keyboard input, and provides the extracted text and salient patterns to the note-taking application for interactive editing.
15. A computer-readable medium storing instructions for executing the method of claim 3, wherein the instructions are executable by a processor to detect starting conditions for data extraction, and provide the extracted text and salient patterns to a note-taking application.