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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 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, 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 based on user interaction, such as keyboard and mouse input, and the speech recognition module uses deep learning algorithms to identify salient patterns.

5. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data from a microphone or other audio input device; 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 speech recognition module uses a neural network to recognize speech patterns, and the pattern detection module uses machine learning to identify salient patterns.

7. 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 and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to an electronic document.

8. The system of claim 7, wherein the activity detection module detects starting conditions based on user interaction, and the speech recognition module uses natural language processing to identify salient patterns.

9. A computer-implemented system for capturing information from audio data and computer operating context, comprising: receiving audio data from a microphone or other audio input device; 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 system of claim 9, wherein the speech recognition module uses deep learning algorithms to recognize speech patterns, and the pattern detection module uses machine learning to identify salient patterns.

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 based on user interaction, and the speech recognition module uses natural language processing to identify salient patterns.

13. A computer system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to an electronic document.

14. The system of claim 13, wherein the speech recognition module uses a neural network to recognize speech patterns, and the pattern detection module uses machine learning to identify salient patterns.

15. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data from a microphone or other audio input device; 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 and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to an electronic document.

2. The system of claim 1, wherein the activity detection module detects starting conditions based on user interaction, 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 speech recognition module uses deep learning algorithms to recognize speech patterns, and the pattern detection module uses machine learning to identify salient patterns.

5. A computer-implemented system for capturing information from audio data and computer operating context, comprising: receiving audio data from a microphone or other audio input device; 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 system of claim 5, wherein the speech recognition module uses a neural network to recognize speech patterns, and the pattern detection module uses machine learning to identify salient patterns.

7. A computer system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to an electronic document.

8. The system of claim 7, wherein the activity detection module detects starting conditions based on user interaction, and the speech recognition module uses natural language processing 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 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 deep learning algorithms to recognize speech patterns, and the pattern detection module uses machine learning to identify salient patterns.

11. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data from a microphone or other audio input device; 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 based on user interaction, and the speech recognition module uses natural language processing to identify salient patterns.

13. A computer system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to an electronic document.

14. The system of claim 13, wherein the speech recognition module uses a neural network to recognize speech patterns, and the pattern detection module uses machine learning to identify salient patterns.

15. A computer-implemented system for capturing information from audio data and computer operating context, comprising: receiving audio data from a microphone or other audio input device; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.

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