Austone SP308

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

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