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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 identify relevant information.
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 and pattern detection modules; and interactively editing an electronic document incorporating the extracted information.
4. The method of claim 3, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data.
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 pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
6. The method of claim 5, wherein the pattern detection module uses machine learning algorithms to identify relevant information.
7. A system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application.
8. The system of claim 7, wherein the activity detection module uses contextual information to detect starting conditions for data extraction.
9. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data; and interactively editing an electronic document incorporating the extracted information.
10. The method of claim 9, wherein the speech recognition module uses speech recognition algorithms to identify salient patterns in the audio data.
11. A computer system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
12. The system of claim 11, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction.
13. 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 note-taking application.
14. The method of claim 13, wherein the pattern detection module uses machine learning algorithms to identify relevant information.
15. A computer-implemented system for automatically 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 note-taking application to interactively edit an electronic document incorporating the extracted information.
16. The system of claim 15, wherein the speech recognition module uses speech recognition algorithms to identify salient patterns in the audio data.
17. 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 and pattern detection modules; and interactively editing an electronic document incorporating the extracted information.
18. The method of claim 17, wherein the activity detection module uses contextual information to detect starting conditions for data extraction.
19. A computer system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
20. The system of claim 19, wherein the pattern detection module uses natural language processing techniques to identify relevant information.

**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 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, comprising: 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 speech recognition module uses speech recognition algorithms to identify salient patterns in the audio data.
5. A computer-implemented 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 note-taking application to interactively edit an electronic document incorporating the extracted information.
6. The system of claim 5, wherein the pattern detection module uses natural language processing techniques to identify relevant information.
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 modules; and providing the extracted text and salient patterns to a note-taking application.
8. The method of claim 7, wherein the activity detection module uses contextual information to detect starting conditions for data extraction.
9. A computer system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
10. The system of claim 9, wherein the speech recognition module uses speech recognition algorithms to identify salient patterns in the audio data.
11. 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 and pattern detection modules; and interactively editing an electronic document incorporating the extracted information.
12. The method of claim 11, wherein the pattern detection module uses machine learning algorithms to identify relevant information.
13. 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 modules; and providing the extracted text and salient patterns to a note-taking application.
14. The method of claim 13, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction.
15. A system for automatically 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 note-taking application to interactively edit an electronic document incorporating the extracted information.
16. The system of claim 15, wherein the speech recognition module uses speech recognition algorithms to identify salient patterns in the audio data.
17. 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 interactively editing an electronic document incorporating the extracted information.
18. The method of claim 17, wherein the activity detection module uses contextual information to detect starting conditions for data extraction.
19. A computer system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
20. The system of claim 19, wherein the pattern detection module uses natural language processing techniques to identify relevant information.

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