**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 a user, wherein the notetaking application allows users 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, including the user's location, time of use, and type of audio data being processed.
3. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: 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 notetaking application, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
4. The method of claim 3, wherein the activity detection module detects starting conditions based on the computer operating context, including the user's location, time of use, and type of audio data being processed.
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, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
6. The system of claim 5, wherein the speech recognition module uses deep learning algorithms to process the audio data and identify salient patterns.
7. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: 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 notetaking application.
8. The method of claim 7, wherein the pattern detection module uses natural language processing algorithms to identify salient patterns based on the computer operating context.
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; 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 detects starting conditions based on the user's location, time of use, and type of audio data being processed.
11. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: 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 speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.
13. 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.
14. The system of claim 13, wherein the pattern detection module detects salient patterns based on the computer operating context, including the user's location, time of use, and type of audio data being processed.
15. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: 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 notetaking application, wherein the notetaking application allows users 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 notetaking application to provide the extracted text and salient patterns to a user.
2. The system of claim 1, wherein the activity detection module detects starting conditions based on the user's location, time of use, and type of audio data being processed.
3. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: 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 machine learning algorithms to process the audio data and identify salient patterns.
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, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
6. The system of claim 5, wherein the pattern detection module detects salient patterns based on the computer operating context, including the user's location, time of use, and type of audio data being processed.
7. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: 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 notetaking application, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
8. The method of claim 7, wherein the activity detection module detects starting conditions based on the user's location, time of use, and type of audio data being processed.
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; and a notetaking application to provide the extracted text and salient patterns to a user.
10. The system of claim 9, wherein the speech recognition module uses deep learning algorithms to process the audio data and identify salient patterns.
11. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: 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 pattern detection module uses natural language processing algorithms to identify salient patterns based on the computer operating context.
13. 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.
14. The system of claim 13, wherein the activity detection module detects starting conditions based on the user's location, time of use, and type of audio data being processed.
15. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: 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 notetaking application, wherein the notetaking application allows users 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 notetaking application to provide the extracted text and salient patterns to a user.
2. The system of claim 1, wherein the activity detection module detects starting conditions based on the user's location, time of use, and type of audio data being processed.
3. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: 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 machine learning algorithms to process the audio data and identify salient patterns.
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, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
6. The system of claim 5, wherein the pattern detection module detects salient patterns based on the computer operating context, including the user's location, time of use, and type of audio data being processed.
7. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: 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 notetaking application, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
8. The method of claim 7, wherein the activity detection module detects starting conditions based on the user's location, time of use, and type of audio data being processed.
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; and a notetaking application to provide the extracted text and salient patterns to a user.
10. The system of claim 9, wherein the speech recognition module uses deep learning algorithms to process the audio data and identify salient patterns.
11. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: 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 pattern detection module uses natural language processing algorithms to identify salient patterns based on the computer operating context.
13. 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.
14. The system of claim 13, wherein the activity detection module detects starting conditions based on the user's location, time of use, and type of audio data being processed.
15. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: 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 notetaking application, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
**Claims**:
1. A computer-implemented method for automatically capturing information from audio data and computer operating context, the method comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module and a pattern detection module; and providing the extracted text and salient patterns to a notetaking application.
2. The method of claim 1, wherein the activity detection module detects starting conditions based on the user's location, time of use, and type of audio data being processed.
3. A computer system for automatically capturing information from audio data and computer operating context, the system 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.
4. The system of claim 3, wherein the pattern detection module detects salient patterns based on the computer operating context, including the user's location, time of use, and type of audio data being processed.
5. A method for automatically capturing information from audio data and computer operating context, the method comprising the steps of: 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 notetaking application.
6. The method of claim 5, wherein the speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.
7. A computer system for automatically capturing information from audio data and computer operating context, the system comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; 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 detects starting conditions based on the user's location, time of use, and type of audio data being processed.
9. A method for automatically capturing information from audio data and computer operating context, the method comprising the steps of: 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 pattern detection module uses natural language processing algorithms to identify salient patterns based on the computer operating context.
11. A computer system for automatically capturing information from audio data and computer operating context, the system 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.
12. The system of claim 11, wherein the activity detection module detects starting conditions based on the user's location, time of use, and type of audio data being processed.
13. A method for automatically capturing information from audio data and computer operating context, the method comprising the steps of: 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 notetaking application.
14. The method of claim 13, wherein the speech recognition module uses deep learning algorithms to process the audio data and identify salient patterns.
15. A computer system for automatically capturing information from audio data and computer operating context, the system comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; 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 and computer operating context, the method comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module and a pattern detection module; and providing the extracted text and salient patterns to a notetaking application.
2. The method of claim 1, wherein the activity detection module detects starting conditions based on the user's location, time of use, and type of audio data being processed.
3. A computer system for automatically capturing information from audio data and computer operating context, the system 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.
4. The system of claim 3, wherein the pattern detection module detects salient patterns based on the computer operating context, including the user's location, time of use, and type of audio data being processed.
5. A method for automatically capturing information from audio data and computer operating context, the method comprising the steps of: 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 notetaking application.
6. The method of claim 5, wherein the speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.
7. A computer system for automatically capturing information from audio data and computer operating context, the system comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; 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 detects starting conditions based on the user's location, time of use, and type of audio data being processed.
9. A method for automatically capturing information from audio data and computer operating context, the method comprising the steps of: 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 pattern detection module uses natural language processing algorithms to identify salient patterns based on the computer operating context.
11. A computer system for automatically capturing information from audio data and computer operating context, the system 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.
12. The system of claim 11, wherein the activity detection module detects starting conditions based on the user's location, time of use, and type of audio data being processed.
13. A method for automatically capturing information from audio data and computer operating context, the method comprising the steps of: 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 notetaking application.
14. The method of claim 13, wherein the speech recognition module uses deep learning algorithms to process the audio data and identify salient patterns.
15. A computer system for automatically capturing information from audio data and computer operating context, the system comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a notetaking application to provide the extracted text and salient patterns to a user.
**Claims**:
1. 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 notetaking application.
2. The method of claim 1, wherein the activity detection module detects starting conditions based on the user's location, time of use, and type of audio data being processed.
3. 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.
4. The system of claim 3, wherein the pattern detection module detects salient patterns based on the computer operating context, including the user's location, time of use, and type of audio data being processed.
5. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: 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 notetaking application.
6. The method of claim 5, wherein the speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.
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 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 detects starting conditions based on the user's location, time of use, and type of audio data being processed.
9. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: 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 pattern detection module uses natural language processing algorithms to identify salient patterns based on the computer operating context.
11. 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.
12. The system of claim 11, wherein the activity detection module detects starting conditions based on the user's location, time of use, and type of audio data being processed.
13. A method for automatically capturing information from audio data and computer operating context, comprising the steps of: 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 notetaking application.
14. The method of claim 13, wherein the speech recognition module uses deep learning algorithms to process the audio data and identify salient patterns.
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 notetaking application to provide the extracted text and salient patterns to a user.
