Reifenbewertungen Ikon Nordman SX3. Seite 22 838

**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 computer system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on 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; 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 speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
5. A computer-implemented method for automatically 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.
6. The computer-implemented method of claim 5, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data and computer operating context.
7. 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 note-taking application to interactively edit an electronic document incorporating the extracted information.
8. The computer system of claim 7, wherein the activity detection module uses sensor data from the computer operating context 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; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
10. The method of claim 9, wherein the speech recognition module uses deep learning techniques to process the audio data and identify salient patterns in the computer operating context.
11. A computer-implemented 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.
12. The computer-implemented system of claim 11, wherein the pattern detection module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
13. A method for automatically 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.
14. The method of claim 13, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the 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; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

**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 note-taking application to interactively edit an electronic document incorporating the extracted information.
2. The computer 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. 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.
4. The method of claim 3, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
5. A computer-implemented method for automatically 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.
6. The computer-implemented method of claim 5, wherein the pattern detection module uses deep learning techniques to identify salient patterns in the audio data and computer operating context.
7. 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 note-taking application to interactively edit an electronic document incorporating the extracted information.
8. The computer system of claim 7, wherein the activity detection module uses sensor data from the computer operating context 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; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
10. The method of claim 9, wherein the speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns in the computer operating context.
11. A computer-implemented 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.
12. The computer-implemented system of claim 11, wherein the pattern detection module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
13. A method for automatically 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.
14. The method of claim 13, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the 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; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

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