**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-implemented 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 to identify salient patterns, and providing the extracted text and salient patterns to a note-taking application, wherein the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the context of the conversation or meeting.
3. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module, a speech recognition module, a pattern detection module, and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
4. The system of claim 3, wherein the activity detection module detects starting conditions for data extraction based on the context of the conversation or meeting, and the speech recognition module processes the audio data to identify salient patterns.
5. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using machine learning algorithms, 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 method of claim 5, wherein the pattern detection module identifies salient patterns in the audio data, and the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
7. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module, a speech recognition module, a pattern detection module, and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
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 context of the conversation or meeting.
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, wherein the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
10. The method of claim 9, wherein the pattern detection module identifies salient patterns in the audio data using deep learning algorithms, and the note-taking application provides a user interface for editing the extracted information.
11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module, a speech recognition module, a pattern detection module, and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
12. The system of claim 11, wherein the activity detection module detects starting conditions for data extraction based on the context of the conversation or meeting, and the speech recognition module processes the audio data to identify salient patterns.
13. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using machine learning algorithms, 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 pattern detection module identifies salient patterns in the audio data, and the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
15. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module, a speech recognition module, a pattern detection module, and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
**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; 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.
2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the context of the conversation or meeting.
3. A computer system for automatically capturing information from audio data and computer operating context, the system comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
4. The system of claim 3, wherein the activity detection module detects starting conditions for data extraction based on the context of the conversation or meeting, and the speech recognition module processes the audio data to identify salient patterns.
5. A method for automatically capturing information from audio data and computer operating context, the method comprising: detecting starting conditions for data extraction using natural language processing algorithms; 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 method of claim 5, wherein the pattern detection module identifies salient patterns in the audio data using deep learning algorithms, and the note-taking application provides a user interface for editing the extracted information.
7. A computer-implemented system for capturing information from audio data and computer operating context, the system comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
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 context of the conversation or meeting.
9. A method for automatically capturing information from audio data and computer operating context, the method 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, wherein the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
10. The method of claim 9, wherein the pattern detection module identifies salient patterns in the audio data, and the note-taking application provides a user interface for editing the extracted information.
11. A computer system for automatically capturing information from audio data and computer operating context, the system comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
12. The system of claim 11, wherein the activity detection module detects starting conditions for data extraction based on the context of the conversation or meeting, and the speech recognition module processes the audio data to identify salient patterns.
13. A method for automatically capturing information from audio data and computer operating context, the method comprising: detecting starting conditions for data extraction using machine learning algorithms; 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 pattern detection module identifies salient patterns in the audio data, and the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
15. A computer-implemented system for capturing information from audio data and computer operating context, the system comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
**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; 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.
2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the context of the conversation or meeting.
3. A computer system for automatically capturing information from audio data and computer operating context, the system comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
4. The system of claim 3, wherein the activity detection module detects starting conditions for data extraction based on the context of the conversation or meeting, and the speech recognition module processes the audio data to identify salient patterns.
5. A method for automatically capturing information from audio data and computer operating context, the method comprising: detecting starting conditions for data extraction using natural language processing algorithms; 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 method of claim 5, wherein the pattern detection module identifies salient patterns in the audio data using deep learning algorithms, and the note-taking application provides a user interface for editing the extracted information.
7. A computer-implemented system for capturing information from audio data and computer operating context, the system comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
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 context of the conversation or meeting.
9. A method for automatically capturing information from audio data and computer operating context, the method 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, wherein the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
10. The method of claim 9, wherein the pattern detection module identifies salient patterns in the audio data, and the note-taking application provides a user interface for editing the extracted information.
11. A computer system for automatically capturing information from audio data and computer operating context, the system comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
12. The system of claim 11, wherein the activity detection module detects starting conditions for data extraction based on the context of the conversation or meeting, and the speech recognition module processes the audio data to identify salient patterns.
13. A method for automatically capturing information from audio data and computer operating context, the method comprising: detecting starting conditions for data extraction using machine learning algorithms; 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 pattern detection module identifies salient patterns in the audio data, and the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
15. A computer-implemented system for capturing information from audio data and computer operating context, the system comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
**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 to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.
2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the context of the conversation or meeting.
3. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
4. The system of claim 3, wherein the activity detection module detects starting conditions for data extraction based on the context of the conversation or meeting, and the speech recognition module processes the audio data to identify salient patterns.
5. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using natural language processing algorithms; 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 method of claim 5, wherein the pattern detection module identifies salient patterns in the audio data using deep learning algorithms, and the note-taking application provides a user interface for editing the extracted information.
7. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
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 context of the conversation or meeting.
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, wherein the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
10. The method of claim 9, wherein the pattern detection module identifies salient patterns in the audio data, and the note-taking application provides a user interface for editing the extracted information.
11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
12. The system of claim 11, wherein the activity detection module detects starting conditions for data extraction based on the context of the conversation or meeting, and the speech recognition module processes the audio data to identify salient patterns.
13. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using machine learning algorithms; 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 pattern detection module identifies salient patterns in the audio data, and the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
15. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
**Claims**:
1. A computer-implemented 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.
2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the context of the conversation or meeting.
3. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application.
4. The system of claim 3, wherein the activity detection module detects starting conditions for data extraction based on the context of the conversation or meeting.
5. 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.
6. The method of claim 5, wherein the pattern detection module identifies salient patterns in the audio data using deep learning algorithms.
7. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application.
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 context of the conversation or meeting.
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 note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application.
12. The system of claim 11, wherein the activity detection module detects starting conditions for data extraction based on the context of the conversation or meeting.
13. 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.
14. The method of claim 13, wherein the pattern detection module identifies salient patterns in the audio data.
15. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application.
Vergrößern 
Vergrößern 
Vergrößern 
