Opiniones sobre neumáticos Cordiant Winter Drive 2. Página 31 1498

Excelentes ruedas. El invierno mostrará

¡Muchas gracias! ¡Todo está perfecto! ????

Gracias al vendedor por la velocidad de entrega.

Caucho de roble, todas las manos están negras (se mancha)
No hay fecha de producción visible
No me atreví a comprarla, me aconsejaron no tomar esa opción (me dijeron que se parece a una restaurada)

Todo como en la descripción, esperamos el invierno. Opiniones de conocidos, buenas.

**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; a pattern detection module to 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.
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 uses natural language processing techniques to identify salient patterns in the extracted text.
5. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context, comprising: instructions for detecting starting conditions for data extraction; instructions for processing the audio data using speech recognition and pattern detection modules; and instructions for providing the extracted text and salient patterns to a note-taking application.
6. The computer-readable medium of claim 5, wherein the instructions for detecting starting conditions for data extraction use machine learning algorithms to identify relevant information.
7. A system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory storing instructions for detecting starting conditions for data extraction; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
8. The system of claim 7, wherein the processor uses natural language processing techniques to identify salient patterns in the extracted text.
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 uses machine learning algorithms to identify relevant information.
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; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
12. The computer system of claim 11, wherein the activity detection module uses natural language processing techniques to identify relevant information.
13. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context, comprising: instructions for detecting starting conditions for data extraction; instructions for processing the audio data using speech recognition and pattern detection modules; and instructions for providing the extracted text and salient patterns to a note-taking application.
14. The computer-readable medium of claim 13, wherein the instructions for detecting starting conditions for data extraction use machine learning algorithms to identify relevant information.
15. A system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory storing instructions for detecting starting conditions for data extraction; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
16. The system of claim 15, wherein the processor uses natural language processing techniques to identify salient patterns in the extracted text.
17. 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.
18. The method of claim 17, wherein the note-taking application uses machine learning algorithms to identify relevant information.
19. 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.
20. The computer system of claim 19, wherein the activity detection module uses natural language processing techniques to identify relevant 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; a pattern detection module to 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 identify relevant information.
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 note-taking application uses natural language processing techniques to identify salient patterns in the extracted text.
5. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context, comprising: instructions for detecting starting conditions for data extraction; instructions for processing the audio data using speech recognition and pattern detection modules; and instructions for providing the extracted text and salient patterns to a note-taking application.
6. The computer-readable medium of claim 5, wherein the instructions for detecting starting conditions for data extraction use machine learning algorithms to identify relevant information.
7. A system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory storing instructions for detecting starting conditions for data extraction; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
8. The system of claim 7, wherein the processor uses natural language processing techniques to identify salient patterns in the extracted text.
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 uses machine learning algorithms to identify relevant information.
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; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
12. The computer system of claim 11, wherein the activity detection module uses natural language processing techniques to identify relevant information.
13. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context, comprising: instructions for detecting starting conditions for data extraction; instructions for processing the audio data using speech recognition and pattern detection modules; and instructions for providing the extracted text and salient patterns to a note-taking application.
14. The computer-readable medium of claim 13, wherein the instructions for detecting starting conditions for data extraction use machine learning algorithms to identify relevant information.
15. A system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory storing instructions for detecting starting conditions for data extraction; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
16. The system of claim 15, wherein the processor uses natural language processing techniques to identify salient patterns in the extracted text.
17. 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.
18. The method of claim 17, wherein the note-taking application uses machine learning algorithms to identify relevant information.
19. 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.
20. The computer system of claim 19, wherein the activity detection module uses natural language processing techniques to identify relevant 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; a pattern detection module to 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 identify relevant information.
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 note-taking application uses natural language processing techniques to identify salient patterns in the extracted text.
5. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context, comprising: instructions for detecting starting conditions for data extraction; instructions for processing the audio data using speech recognition and pattern detection modules; and instructions for providing the extracted text and salient patterns to a note-taking application.
6. The computer-readable medium of claim 5, wherein the instructions for detecting starting conditions for data extraction use machine learning algorithms to identify relevant information.
7. A system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory storing instructions for detecting starting conditions for data extraction; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
8. The system of claim 7, wherein the processor uses natural language processing techniques to identify salient patterns in the extracted text.
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 uses machine learning algorithms to identify relevant information.
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; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
12. The computer system of claim 11, wherein the activity detection module uses natural language processing techniques to identify relevant information.
13. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context, comprising: instructions for detecting starting conditions for data extraction; instructions for processing the audio data using speech recognition and pattern detection modules; and instructions for providing the extracted text and salient patterns to a note-taking application.
14. The computer-readable medium of claim 13, wherein the instructions for detecting starting conditions for data extraction use machine learning algorithms to identify relevant information.
15. A system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory storing instructions for detecting starting conditions for data extraction; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
16. The system of claim 15, wherein the processor uses natural language processing techniques to identify salient patterns in the extracted text.
17. 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.
18. The method of claim 17, wherein the note-taking application uses machine learning algorithms to identify relevant information.
19. 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.
20. The computer system of claim 19, wherein the activity detection module uses natural language processing techniques to identify relevant 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; a pattern detection module to 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 identify relevant information.
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 note-taking application uses natural language processing techniques to identify salient patterns in the extracted text.
5. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context, comprising: instructions for detecting starting conditions for data extraction; instructions for processing the audio data using speech recognition and pattern detection modules; and instructions for providing the extracted text and salient patterns to a note-taking application.
6. The computer-readable medium of claim 5, wherein the instructions for detecting starting conditions for data extraction use machine learning algorithms to identify relevant information.
7. A system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory storing instructions for detecting starting conditions for data extraction; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
8. The system of claim 7, wherein the processor uses natural language processing techniques to identify salient patterns in the extracted text.
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 uses machine learning algorithms to identify relevant information.
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; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
12. The computer system of claim 11, wherein the activity detection module uses natural language processing techniques to identify relevant information.
13. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context, comprising: instructions for detecting starting conditions for data extraction; instructions for processing the audio data using speech recognition and pattern detection modules; and instructions for providing the extracted text and salient patterns to a note-taking application.
14. The computer-readable medium of claim 13, wherein the instructions for detecting starting conditions for data extraction use machine learning algorithms to identify relevant information.
15. A system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory storing instructions for detecting starting conditions for data extraction; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
16. The system of claim 15, wherein the processor uses natural language processing techniques to identify salient patterns in the extracted text.
17. 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.
18. The method of claim 17, wherein the note-taking application uses machine learning algorithms to identify relevant information.
19. 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.
20. The computer system of claim 19, wherein the activity detection module uses natural language processing techniques to identify relevant information.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context.
2. The computer system of claim 1, wherein the system comprises an activity detection module to detect starting conditions for data extraction.
3. The computer system of claim 1, wherein the system comprises a speech recognition module to process the audio data.
4. The computer system of claim 1, wherein the system comprises a pattern detection module to identify salient patterns.
5. The computer system of claim 1, wherein the system comprises a note-taking application to interactively edit an electronic document incorporating the extracted information.
6. A method for automatically capturing information from audio data and computer operating context.
7. The method of claim 6, wherein the method comprises detecting starting conditions for data extraction.
8. The method of claim 6, wherein the method comprises processing the audio data using speech recognition and pattern detection modules.
9. The method of claim 6, wherein the method comprises providing the extracted text and salient patterns to a note-taking application.
10. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context.
11. The computer-readable medium of claim 10, wherein the instructions comprise instructions for detecting starting conditions for data extraction.
12. The computer-readable medium of claim 10, wherein the instructions comprise instructions for processing the audio data using speech recognition and pattern detection modules.
13. The computer-readable medium of claim 10, wherein the instructions comprise instructions for providing the extracted text and salient patterns to a note-taking application.
14. A system for automatically capturing information from audio data and computer operating context.
15. The system of claim 14, wherein the system comprises a processor.
16. The system of claim 14, wherein the system comprises a memory storing instructions for detecting starting conditions for data extraction.
17. The system of claim 14, wherein the system comprises a note-taking application to interactively edit an electronic document incorporating the extracted information.
18. A method for automatically capturing information from audio data and computer operating context.
19. The method of claim 18, wherein the method comprises detecting starting conditions for data extraction.
20. The method of claim 18, wherein the method comprises processing the audio data using speech recognition and pattern detection modules.

**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-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 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.

2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction, and the speech recognition module uses natural language processing techniques to identify salient patterns.

3. A system for automatically capturing information from audio data and computer operating context, the system comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for providing the extracted text and salient patterns to a user.

4. The system of claim 3, wherein the activity detection module uses sensor data from the computer operating context to detect starting conditions for data extraction, and the pattern detection module uses machine learning algorithms to identify salient patterns.

5. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions for data extraction; means for processing audio data using speech recognition; means for identifying salient patterns using pattern detection; and means for providing the extracted text and salient patterns to a notetaking application.

6. The system of claim 5, wherein the means for detecting starting conditions for data extraction uses natural language processing techniques, and the means for identifying salient patterns uses machine learning algorithms.

7. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; 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 detecting step uses sensor data from the computer operating context to detect starting conditions for data extraction, and the identifying step uses machine learning algorithms to identify salient patterns.

9. A system for automatically capturing information from audio data and computer operating context, comprising: a module for detecting starting conditions for data extraction; a module for processing audio data using speech recognition; a module for identifying salient patterns using pattern detection; and a module for providing the extracted text and salient patterns to a notetaking application.

10. The system of claim 9, wherein the module for detecting starting conditions for data extraction uses natural language processing techniques, and the module for identifying salient patterns uses machine learning algorithms to identify patterns in the audio data.

11. 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 audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted text and salient patterns to a notetaking application.

12. The method of claim 11, wherein the detecting step uses sensor data from the computer operating context to detect starting conditions for data extraction, and the identifying step uses machine learning algorithms to identify salient patterns in the audio data.

13. A system for automatically capturing information from audio data and computer operating context, the system comprising: means for detecting starting conditions for data extraction; means for processing audio data using speech recognition; means for identifying salient patterns using pattern detection; and means for providing the extracted text and salient patterns to a notetaking application.

14. The system of claim 13, wherein the means for detecting starting conditions for data extraction uses natural language processing techniques, and the means for identifying salient patterns uses machine learning algorithms to identify patterns in the audio data.

15. A computer-implemented system for automatically capturing information from audio data and computer operating context, the system comprising: a module for detecting starting conditions for data extraction; a module for processing audio data using speech recognition; a module for identifying salient patterns using pattern detection; and a module for 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.

1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted text and salient patterns to a notetaking application.

2. The method of claim 1, wherein the detecting step uses sensor data from the computer operating context to detect starting conditions for data extraction.

3. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for providing the extracted text and salient patterns to a user.

4. The system of claim 3, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.

5. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions for data extraction; means for processing audio data using speech recognition; means for identifying salient patterns using pattern detection; and means for providing the extracted text and salient patterns to a notetaking application.

6. The system of claim 5, wherein the means for detecting starting conditions for data extraction uses natural language processing techniques.

7. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; 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 detecting step uses sensor data from the computer operating context to detect starting conditions for data extraction.

9. A system for automatically capturing information from audio data and computer operating context, comprising: a module for detecting starting conditions for data extraction; a module for processing audio data using speech recognition; a module for identifying salient patterns using pattern detection; and a module for providing the extracted text and salient patterns to a notetaking application.

10. The system of claim 9, wherein the module for detecting starting conditions for data extraction uses machine learning algorithms to detect starting conditions for data extraction.

11. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted text and salient patterns to a notetaking application.

12. The method of claim 11, wherein the detecting step uses natural language processing techniques to detect starting conditions for data extraction.

13. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for providing the extracted text and salient patterns to a user.

14. The system of claim 13, wherein the activity detection module uses sensor data from the computer operating context to detect starting conditions for data extraction.

15. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions for data extraction; means for processing audio data using speech recognition; means for identifying salient patterns using pattern detection; and means for providing the extracted text and salient patterns to a notetaking application.

1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; 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.

2. The method of claim 1, wherein the detecting step uses sensor data from the computer operating context to detect starting conditions for data extraction, and the identifying step uses machine learning algorithms to identify salient patterns.

3. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for providing the extracted text and salient patterns to a user.

4. The system of claim 3, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction, and the pattern detection module uses machine learning algorithms to identify patterns in the audio data.

5. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions for data extraction; means for processing audio data using speech recognition; means for identifying salient patterns using pattern detection; and means for providing the extracted text and salient patterns to a notetaking application.

6. The system of claim 5, wherein the means for detecting starting conditions for data extraction uses sensor data from the computer operating context, and the means for identifying salient patterns uses machine learning algorithms to identify patterns in the audio data.

7. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; 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 detecting step uses natural language processing techniques to detect starting conditions for data extraction, and the identifying step uses machine learning algorithms to identify salient patterns.

9. A system for automatically capturing information from audio data and computer operating context, comprising: a module for detecting starting conditions for data extraction; a module for processing audio data using speech recognition; a module for identifying salient patterns using pattern detection; and a module for providing the extracted text and salient patterns to a notetaking application.

10. The system of claim 9, wherein the module for detecting starting conditions for data extraction uses machine learning algorithms to detect starting conditions for data extraction, and the module for identifying salient patterns uses natural language processing techniques to identify patterns in the audio data.

11. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted text and salient patterns to a notetaking application.

12. The method of claim 11, wherein the detecting step uses sensor data from the computer operating context to detect starting conditions for data extraction, and the identifying step uses machine learning algorithms to identify salient patterns.

13. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for providing the extracted text and salient patterns to a user.

14. The system of claim 13, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction, and the pattern detection module uses machine learning algorithms to identify patterns in the audio data.

15. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions for data extraction; means for processing audio data using speech recognition; means for identifying salient patterns using pattern detection; and means for 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.

1. A computer-implemented 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 audio data using a speech recognition module; identifying salient patterns using 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 uses sensor data from the computer operating context to detect starting conditions for data extraction.

3. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for providing the extracted text and salient patterns to a user.

4. The system of claim 3, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction.

5. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions for data extraction; means for processing audio data using speech recognition; means for identifying salient patterns using pattern detection; and means for providing the extracted text and salient patterns to a notetaking application.

6. The system of claim 5, wherein the means for detecting starting conditions for data extraction uses machine learning algorithms to detect starting conditions for data extraction.

7. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted text and salient patterns to a notetaking application.

8. The method of claim 7, wherein the detecting step uses sensor data from the computer operating context to detect starting conditions for data extraction.

9. A system for automatically capturing information from audio data and computer operating context, comprising: a module for detecting starting conditions for data extraction; a module for processing audio data using speech recognition; a module for identifying salient patterns using pattern detection; and a module for providing the extracted text and salient patterns to a notetaking application.

10. The system of claim 9, wherein the module for detecting starting conditions for data extraction uses natural language processing techniques to detect starting conditions for data extraction.

11. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted text and salient patterns to a notetaking application.

12. The method of claim 11, wherein the detecting step uses machine learning algorithms to detect starting conditions for data extraction.

13. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for providing the extracted text and salient patterns to a user.

14. The system of claim 13, wherein the activity detection module uses sensor data from the computer operating context to detect starting conditions for data extraction.

15. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions for data extraction; means for processing audio data using speech recognition; means for identifying salient patterns using pattern detection; and means for providing the extracted text and salient patterns to a notetaking application.

Claim 1. A computer-implemented 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 audio data using a speech recognition module; identifying salient patterns using a pattern detection module; and providing the extracted text and salient patterns to a notetaking application.

Claim 2. The method of claim 1, wherein the activity detection module uses sensor data from the computer operating context to detect starting conditions for data extraction.

Claim 3. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for providing the extracted text and salient patterns to a user.

Claim 4. The system of claim 3, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction.

Claim 5. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions for data extraction; means for processing audio data using speech recognition; means for identifying salient patterns using pattern detection; and means for providing the extracted text and salient patterns to a notetaking application.

Claim 6. The system of claim 5, wherein the means for detecting starting conditions for data extraction uses machine learning algorithms to detect starting conditions for data extraction.

Claim 7. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted text and salient patterns to a notetaking application.

Claim 8. The method of claim 7, wherein the detecting step uses sensor data from the computer operating context to detect starting conditions for data extraction.

Claim 9. A system for automatically capturing information from audio data and computer operating context, comprising: a module for detecting starting conditions for data extraction; a module for processing audio data using speech recognition; a module for identifying salient patterns using pattern detection; and a module for providing the extracted text and salient patterns to a notetaking application.

Claim 10. The system of claim 9, wherein the module for detecting starting conditions for data extraction uses natural language processing techniques to detect starting conditions for data extraction.

Claim 11. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted text and salient patterns to a notetaking application.

Claim 12. The method of claim 11, wherein the detecting step uses machine learning algorithms to detect starting conditions for data extraction.

Claim 13. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for providing the extracted text and salient patterns to a user.

Claim 14. The system of claim 13, wherein the activity detection module uses sensor data from the computer operating context to detect starting conditions for data extraction.

Claim 15. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions for data extraction; means for processing audio data using speech recognition; means for identifying salient patterns using pattern detection; and means for providing the extracted text and salient patterns to a notetaking application.

**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 relevant patterns. To generate patent claims, we need to identify the key technical features of the invention, including the use of an activity detection module, speech recognition, and pattern detection, 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 a pattern detection module to identify relevant patterns.
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 user's context, and the speech recognition module processes the audio data to identify relevant patterns, including speech recognition and pattern detection.
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 information to a user interface for review and editing.
4. The method of claim 3, wherein the activity detection module uses natural language processing to detect starting conditions for data extraction, and the speech recognition module processes the audio data to identify relevant patterns, including speaker identification and sentiment analysis.
5. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, the instructions 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 information to a user interface for review and editing.
6. The computer-readable medium of claim 5, wherein the instructions use machine learning algorithms to detect starting conditions for data extraction, and the speech recognition module processes the audio data to identify relevant patterns, including speech recognition, pattern detection, and natural language processing.
7. A 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 pattern detection module to identify relevant patterns, including sentiment analysis and speaker identification.
8. The system of claim 7, wherein the activity detection module uses deep learning algorithms to detect starting conditions for data extraction, and the speech recognition module processes the audio data to identify relevant patterns, including intent detection and entity recognition.
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 information to a user interface for review and editing, including search and filtering capabilities.
10. The method of claim 9, wherein the activity detection module uses natural language processing to detect starting conditions for data extraction, and the speech recognition module processes the audio data to identify relevant patterns, including topic modeling and event detection.
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 a pattern detection module to identify relevant patterns, including sentiment analysis and entity recognition.
12. The computer system of claim 11, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction, and the speech recognition module processes the audio data to identify relevant patterns, including speaker identification and intent detection.
13. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, the instructions 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 information to a user interface for review and editing, including search and filtering capabilities.
14. The computer-readable medium of claim 13, wherein the instructions use deep learning algorithms to detect starting conditions for data extraction, and the speech recognition module processes the audio data to identify relevant patterns, including topic modeling and event detection.
15. A 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 pattern detection module to identify relevant patterns, including sentiment analysis and entity recognition, and provide the extracted information to a user interface for review and editing.

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