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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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user, wherein the system uses the extracted information to generate an electronic document.

2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the computer operating context, including conversations, meetings, and other interactions.

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 conversations, meetings, and other interactions; and the pattern detection module identifies salient patterns using natural language processing algorithms.

5. A computer system for automatically capturing information from audio data and computer operating context, comprising: 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 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction; the speech recognition module processes the audio data using natural language processing; and the pattern detection module identifies salient patterns based on the computer operating context.

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 the computer operating context; the speech recognition module processes the audio data using natural language processing algorithms; and the pattern detection module identifies salient patterns.

9. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; 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 uses machine learning algorithms to detect starting conditions for data extraction; the speech recognition module processes the audio data using natural language processing; and the pattern detection module identifies salient patterns based on the computer operating context.

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 activity detection module detects starting conditions for data extraction based on the computer operating context; the speech recognition module processes the audio data using natural language processing algorithms; and the pattern detection module identifies salient patterns.

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 uses machine learning algorithms to detect starting conditions for data extraction; the speech recognition module processes the audio data using natural language processing; and the pattern detection module identifies salient patterns based on the computer operating context.

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, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted text and salient patterns to a notetaking application.
2. The method of claim 1, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on computer operating context.
3. 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; 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 activity detection module uses natural language processing to detect starting conditions for data extraction based on computer operating context.
5. A computer-implemented 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 providing the extracted text and salient patterns to a notetaking application.
6. The method of claim 5, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context, including conversations and meetings.
7. 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; 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 uses machine learning algorithms to detect starting conditions for data extraction based on the computer operating context.
9. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted text and salient patterns to a notetaking application.
10. The method of claim 9, wherein the detecting step uses natural language processing to detect starting conditions for data extraction based on the computer operating context.
11. 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; 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 activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the computer operating context.
13. A computer-implemented 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 providing the extracted text and salient patterns to a notetaking application.
14. The method of claim 13, wherein the detecting step uses natural language processing to detect starting conditions for data extraction based on the computer operating context.
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; 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, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted text and salient patterns to a notetaking application.
2. The method of claim 1, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on computer operating context.
3. 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; 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 activity detection module uses natural language processing to detect starting conditions for data extraction based on computer operating context.
5. A computer-implemented 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 providing the extracted text and salient patterns to a notetaking application.
6. The method of claim 5, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context, including conversations and meetings.
7. 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; 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 uses machine learning algorithms to detect starting conditions for data extraction based on the computer operating context.
9. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted text and salient patterns to a notetaking application.
10. The method of claim 9, wherein the detecting step uses natural language processing to detect starting conditions for data extraction based on the computer operating context.
11. 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; 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 activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the computer operating context.
13. A computer-implemented 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 providing the extracted text and salient patterns to a notetaking application.
14. The method of claim 13, wherein the detecting step uses natural language processing to detect starting conditions for data extraction based on the computer operating context.
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; 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, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted text and salient patterns to a notetaking application.
2. The method of claim 1, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on computer operating context.
3. 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; 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 activity detection module uses natural language processing to detect starting conditions for data extraction based on computer operating context.
5. A computer-implemented 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 providing the extracted text and salient patterns to a notetaking application.
6. The method of claim 5, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context, including conversations and meetings.
7. 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; 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 uses machine learning algorithms to detect starting conditions for data extraction based on the computer operating context.
9. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted text and salient patterns to a notetaking application.
10. The method of claim 9, wherein the detecting step uses natural language processing to detect starting conditions for data extraction based on the computer operating context.
11. 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; 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 activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the computer operating context.
13. A computer-implemented 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 providing the extracted text and salient patterns to a notetaking application.
14. The method of claim 13, wherein the detecting step uses natural language processing to detect starting conditions for data extraction based on the computer operating context.
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; 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, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted text and salient patterns to a notetaking application.
2. The method of claim 1, wherein the detecting step uses machine learning algorithms to identify starting conditions for data extraction based on computer operating context.
3. 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; 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 activity detection module uses natural language processing to detect starting conditions for data extraction based on computer operating context.
5. A computer-implemented 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 providing the extracted text and salient patterns to a notetaking application.
6. The method of claim 5, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context, including conversations and meetings.
7. 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; 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 uses machine learning algorithms to detect starting conditions for data extraction based on the computer operating context.
9. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted text and salient patterns to a notetaking application.
10. The method of claim 9, wherein the detecting step uses natural language processing to detect starting conditions for data extraction based on the computer operating context.
11. 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; 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 activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the computer operating context.
13. A computer-implemented 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 providing the extracted text and salient patterns to a notetaking application.
14. The method of claim 13, wherein the detecting step uses natural language processing to detect starting conditions for data extraction based on the computer operating context.
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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.