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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 a pattern detection module to identify salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application, allowing users to interactively edit an electronic document incorporating the extracted information.

2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction, and the speech recognition module uses natural language processing to identify salient patterns.

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 user input, such as voice commands or keyboard input, and the pattern detection module identifies salient patterns using machine learning algorithms.

5. A computer-readable medium storing a program of instructions for automatically capturing information from audio data and computer operating context, wherein the program of instructions detects starting conditions for data extraction using an activity detection module, processes the audio data using speech recognition and pattern detection modules, and provides the extracted text and salient patterns to a notetaking application.

6. The computer-readable medium of claim 5, wherein the program of instructions uses natural language processing to identify salient patterns, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

7. A 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.

8. The system of claim 7, wherein the activity detection module detects starting conditions for data extraction based on user input, and the pattern detection module identifies salient patterns using machine learning algorithms.

9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the method uses natural language processing to identify salient patterns.

10. The method of claim 9, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction, and the pattern detection module identifies salient patterns using natural language processing.

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; and a pattern detection module to identify salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.

12. The computer system of claim 11, wherein the activity detection module detects starting conditions for data extraction based on user input, and the pattern detection module identifies salient patterns using machine learning algorithms.

13. A computer-readable medium storing a program of instructions for automatically capturing information from audio data and computer operating context, wherein the program of instructions detects starting conditions for data extraction using an activity detection module, processes the audio data using speech recognition and pattern detection modules, and provides the extracted text and salient patterns to a notetaking application.

14. The computer-readable medium of claim 13, wherein the program of instructions uses natural language processing to identify salient patterns, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

15. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns, wherein the system uses machine learning algorithms to detect starting conditions for data extraction.

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

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