**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 audio data and computer operating context.
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 note-taking application.
4. The method of claim 3, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context, including the type of audio data, computer operating context, and the type of note-taking application.
5. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.
6. The method of claim 5, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the audio data and computer operating context.
7. 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, wherein the note-taking application is a software application running on a computer or mobile device.
8. The system of claim 7, wherein the activity detection module uses natural language processing algorithms to detect starting conditions for data extraction based on the audio data and computer operating context.
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 note-taking application, wherein the method is implemented using a computer or mobile device.
10. The method of claim 9, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context, including the type of audio data, computer operating context, and the type of note-taking application.
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 identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information, wherein the system is implemented using a computer or mobile device.
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 audio data and computer operating context.
13. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; 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, wherein the method is implemented using a computer or mobile device.
14. The method of claim 13, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context, including the type of audio data, computer operating context, and the type of note-taking application.
15. 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, wherein the system is implemented using a computer or mobile device.
However I will provide a mininum of 15 claims as requested, here they are:
1. A computer system for automatically capturing information from audio data and computer operating context.
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 and computer operating context.
4. The method of claim 3, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context.
5. A computer-implemented method for capturing information from audio data and computer operating context.
6. The method of claim 5, wherein the activity detection module uses natural language processing algorithms to detect starting conditions for data extraction.
7. A computer system for automatically capturing information from audio data and computer operating context, comprising an activity detection module and a note-taking application.
8. The system of claim 7, wherein the activity detection module uses deep learning algorithms to detect starting conditions for data extraction.
9. A method for automatically capturing information from audio data and computer operating context, comprising detecting starting conditions for data extraction and processing the audio data using speech recognition and pattern detection modules.
10. The method of claim 9, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context.
11. A computer 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.
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 audio data and computer operating context.
13. A computer-implemented method for capturing information from audio data and computer operating context, comprising receiving audio data and computer operating context, detecting starting conditions for data extraction, processing the audio data, and providing the extracted text and salient patterns to a note-taking application.
14. The method of claim 13, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context.
15. 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.
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