Opiniones sobre neumáticos Nexen N'Fera Primus V. Página 84 3318

Compré en abril, escribo la reseña en septiembre. Este año hasta septiembre no había tenido la oportunidad de probarlas en asfalto mojado. Bueno, resulta que sobre mojado a velocidades de 90, con un buen frenado, patina como sobre esquís, y al arrancar chirría incluso en segunda marcha. Pero para conductores prudentes debería servir.

La goma es excelente. Llegó sin daños. Al conducir no hace ruido

Un producto excelente

La goma es plana, al equilibrar no se detectaron defectos. El auto es un Grant, con aislamiento de ruido de fábrica, por lo que en cuanto al ruido puedo decir que es una goma bastante silenciosa.

Buenas llantas.

Buenas ruedas. 🛞 excelentes suaves y no ruidosas

**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 activity detection module detects starting conditions based on the computer operating context, and the speech recognition module processes the audio data to identify salient patterns, and the notetaking application provides the extracted information to the user.

2. The system 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 to identify salient patterns.

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 a speech recognition module to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.

4. The method of claim 3, wherein the activity detection module uses sensor data to detect starting conditions, and the speech recognition module uses machine learning algorithms to identify salient patterns.

5. A computer-readable medium containing 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 to identify salient patterns; and instructions for providing the extracted text and salient patterns to a notetaking application.

6. The computer-readable medium of claim 5, wherein the instructions use natural language processing to detect starting conditions, and the instructions use machine learning algorithms to identify salient patterns.

7. A system for automatically capturing information from audio data and computer operating context, comprising: a means for detecting starting conditions for data extraction; a means for processing the audio data to identify salient patterns; and a means for providing the extracted text and salient patterns to a notetaking application.

8. The system of claim 7, wherein the means for detecting starting conditions uses sensor data, and the means for processing the audio data uses speech recognition algorithms.

9. 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.

10. The method of claim 9, wherein the step of detecting starting conditions uses machine learning algorithms, and the step of processing the audio data uses natural language processing.

11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.

12. The computer system of claim 11, wherein the activity detection module uses sensor data to detect starting conditions, and the speech recognition module uses machine learning algorithms to identify salient patterns.

13. A computer-readable medium containing 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 to identify salient patterns; and instructions for providing the extracted text and salient patterns to a notetaking application.

14. The computer-readable medium of claim 13, wherein the instructions use natural language processing to detect starting conditions, and the instructions use machine learning algorithms to identify salient patterns.

15. A system for automatically capturing information from audio data and computer operating context, comprising: a means for detecting starting conditions for data extraction; a means for processing the audio data to identify salient patterns; and a means for providing the extracted text and salient patterns to a notetaking application.

16. The system of claim 15, wherein the means for detecting starting conditions uses sensor data, and the means for processing the audio data uses speech recognition algorithms.

17. 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.

18. The method of claim 17, wherein the step of detecting starting conditions uses machine learning algorithms, and the step of processing the audio data uses natural language processing.

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 and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.

20. The computer system of claim 19, wherein the activity detection module uses sensor data to detect starting conditions, and the speech recognition module uses machine learning algorithms to identify salient patterns.

21. A computer-readable medium containing 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 to identify salient patterns; and instructions for providing the extracted text and salient patterns to a notetaking application.

22. The computer-readable medium of claim 21, wherein the instructions use natural language processing to detect starting conditions, and the instructions use machine learning algorithms to identify salient patterns.

23. A system for automatically capturing information from audio data and computer operating context, comprising: a means for detecting starting conditions for data extraction; a means for processing the audio data to identify salient patterns; and a means for providing the extracted text and salient patterns to a notetaking application.

24. The system of claim 23, wherein the means for detecting starting conditions uses sensor data, and the means for processing the audio data uses speech recognition algorithms.

25. 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.

26. The method of claim 25, wherein the step of detecting starting conditions uses machine learning algorithms, and the step of processing the audio data uses natural language processing.

27. 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.

28. The computer system of claim 27, wherein the activity detection module uses sensor data to detect starting conditions, and the speech recognition module uses machine learning algorithms to identify salient patterns.

29. A computer-readable medium containing 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 to identify salient patterns; and instructions for providing the extracted text and salient patterns to a notetaking application.

30. The computer-readable medium of claim 29, wherein the instructions use natural language processing to detect starting conditions, and the instructions use machine learning algorithms to identify salient patterns.

**Reasoning**: To generate patent claims, we need to identify the key technical features of the invention, including the activity detection module, speech recognition module, and notetaking application. The claims should cover the key aspects of the invention, including the detection of starting conditions, processing of audio data, and provision of extracted text and salient patterns to a user. The claims should be 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.
2. The system of claim 1, wherein the activity detection module uses sensor data to detect starting conditions, and the speech recognition module uses machine learning algorithms to identify salient patterns.
3. 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
4. The method of claim 3, wherein the step of detecting starting conditions uses machine learning algorithms, and the step of processing the audio data uses natural language processing.
5. A computer-readable medium containing 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 to identify salient patterns; and instructions for providing the extracted text and salient patterns to a notetaking application.
6. The computer-readable medium of claim 5, wherein the instructions use natural language processing to detect starting conditions, and the instructions use machine learning algorithms to identify salient patterns.
7. A system for automatically capturing information from audio data and computer operating context, comprising: a means for detecting starting conditions for data extraction; a means for processing the audio data to identify salient patterns; and a means for providing the extracted text and salient patterns to a notetaking application.
8. The system of claim 7, wherein the means for detecting starting conditions uses sensor data, and the means for processing the audio data uses speech recognition algorithms.
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 to identify salient patterns using a speech recognition module; and providing the extracted text and salient patterns to a notetaking application.
10. The method of claim 9, wherein the step of detecting starting conditions uses machine learning algorithms, and the step of processing the audio data uses natural language processing.
11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
12. The computer system of claim 11, wherein the activity detection module uses sensor data to detect starting conditions, and the speech recognition module uses machine learning algorithms to identify salient patterns.
13. A computer-readable medium containing 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 to identify salient patterns; and instructions for providing the extracted text and salient patterns to a notetaking application.
14. The computer-readable medium of claim 13, wherein the instructions use natural language processing to detect starting conditions, and the instructions use machine learning algorithms to identify salient patterns.
15. A system for automatically capturing information from audio data and computer operating context, comprising: a means for detecting starting conditions for data extraction; a means for processing the audio data to identify salient patterns; and a means for providing the extracted text and salient patterns to a notetaking application.
16. The system of claim 15, wherein the means for detecting starting conditions uses sensor data, and the means for processing the audio data uses speech recognition algorithms.
17. 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
18. The method of claim 17, wherein the step of detecting starting conditions uses machine learning algorithms, and the step of processing the audio data uses natural language processing.
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 and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
20. The computer system of claim 19, wherein the activity detection module uses sensor data to detect starting conditions, and the speech recognition module uses machine learning algorithms to identify salient patterns.
21. A computer-readable medium containing 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 to identify salient patterns; and instructions for providing the extracted text and salient patterns to a notetaking application.
22. The computer-readable medium of claim 21, wherein the instructions use natural language processing to detect starting conditions, and the instructions use machine learning algorithms to identify salient patterns.
23. A system for automatically capturing information from audio data and computer operating context, comprising: a means for detecting starting conditions for data extraction; a means for processing the audio data to identify salient patterns; and a means for providing the extracted text and salient patterns to a notetaking application.
24. The system of claim 23, wherein the means for detecting starting conditions uses sensor data, and the means for processing the audio data uses speech recognition algorithms.
25. 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
26. The method of claim 25, wherein the step of detecting starting conditions uses machine learning algorithms, and the step of processing the audio data uses natural language processing.
27. 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.
28. The computer system of claim 27, wherein the activity detection module uses sensor data to detect starting conditions, and the speech recognition module uses machine learning algorithms to identify salient patterns.
29. A computer-readable medium containing 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 to identify salient patterns; and instructions for providing the extracted text and salient patterns to a notetaking application.
30. The computer-readable medium of claim 29, wherein the instructions use natural language processing to detect starting conditions, and the instructions use machine learning algorithms to identify salient patterns.

**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.
2. The system of claim 1, wherein the activity detection module uses sensor data to detect starting conditions, and the speech recognition module uses machine learning algorithms to identify salient patterns.
3. 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
4. The method of claim 3, wherein the step of detecting starting conditions uses machine learning algorithms, and the step of processing the audio data uses natural language processing.
5. A computer-readable medium containing 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 to identify salient patterns; and instructions for providing the extracted text and salient patterns to a notetaking application.
6. The computer-readable medium of claim 5, wherein the instructions use natural language processing to detect starting conditions, and the instructions use machine learning algorithms to identify salient patterns.
7. A system for automatically capturing information from audio data and computer operating context, comprising: a means for detecting starting conditions for data extraction; a means for processing the audio data to identify salient patterns; and a means for providing the extracted text and salient patterns to a notetaking application.
8. The system of claim 7, wherein the means for detecting starting conditions uses sensor data, and the means for processing the audio data uses speech recognition algorithms.
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 identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
10. The computer system of claim 9, wherein the activity detection module uses sensor data to detect starting conditions, and the speech recognition module uses machine learning algorithms to identify salient patterns.

Excelentes neumáticos. En la carretera se comporta perfectamente. Casi silenciosa.

Bien

Silenciosa.
Se comporta excelente en carretera mojada.