Opiniones sobre neumáticos Roadstone Eurovis Sport 04. Página 4 204

4 días fue simplemente procesado, ¡el propio vendedor no responde a los mensajes!

No es una goma mala, no es ruidosa.

Neumáticos (las cuatro) 38ª semana de 2024. Es un gran plus. En la descripción del lote en la foto, estos neumáticos tienen 4 ranuras, y en los neumáticos está indicado este modelo. En realidad, hay tres ranuras y en los neumáticos también está indicado este modelo. No sé si es bueno o malo, solo he señalado este hecho. La goma es un poco más suave que la misma Nokian Green 3. Pero en general, por este precio es una compra excelente. Estoy satisfecho. Muchas gracias al vendedor.

**Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings. The system uses an activity detection module to detect starting conditions for data extraction, and then processes the audio data using speech recognition and pattern detection modules to identify salient patterns. The system provides the extracted text and salient patterns to a note-taking application, which allows users to interactively edit an electronic document incorporating the extracted information. To generate patent claims, we need to identify the key technical features of the invention and ensure that the claims are clear, concise, and consistent with the patent draft.

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

2. The system of claim 1, where the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.

3. A method for automatically capturing information from audio data, 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 user.

4. The method of claim 3, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversations and meetings.

5. A computer-readable medium containing a program of instructions for automatically capturing information from audio data, wherein the program of instructions uses machine learning algorithms to detect starting conditions for data extraction and identifies salient patterns in the audio data.

6. The computer-readable medium of claim 5, wherein the program of instructions provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

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

8. The system of claim 7, wherein the activity detection module uses natural language processing to detect starting conditions for data extraction based on audio data and computer operating context.

9. A method for automatically capturing information from audio data, 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 user.

10. The method of claim 9, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversations and meetings.

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

12. The computer system of claim 11, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.

13. A method for automatically capturing information from audio data, 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 user.

14. The method of claim 13, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversations and meetings.

15. A computer-readable medium containing a program of instructions for automatically capturing information from audio data, wherein the program of instructions uses natural language processing to detect starting conditions for data extraction and identifies salient patterns in the audio data.

16. The computer-readable medium of claim 15, wherein the program of instructions provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

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

18. The system of claim 17, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.

19. A method for automatically capturing information from audio data, 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 user.

20. The method of claim 19, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversations and meetings.

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

22. The computer system of claim 21, wherein the activity detection module uses natural language processing to detect starting conditions for data extraction based on audio data and computer operating context.

23. A method for automatically capturing information from audio data, 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 user.

24. The method of claim 23, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversations and meetings.

25. A computer-readable medium containing a program of instructions for automatically capturing information from audio data, wherein the program of instructions uses machine learning algorithms to detect starting conditions for data extraction and identifies salient patterns in the audio data.

26. The computer-readable medium of claim 25, wherein the program of instructions provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

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

28. The system of claim 27, wherein the activity detection module uses natural language processing to detect starting conditions for data extraction based on audio data and computer operating context.

29. A method for automatically capturing information from audio data, 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 user.

30. The method of claim 29, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversations and meetings.

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

32. The computer system of claim 31, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.

33. A method for automatically capturing information from audio data, 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 user.

34. The method of claim 33, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversations and meetings.

35. A computer-readable medium containing a program of instructions for automatically capturing information from audio data, wherein the program of instructions uses natural language processing to detect starting conditions for data extraction and identifies salient patterns in the audio data.

36. The computer-readable medium of claim 35, wherein the program of instructions provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

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

38. The system of claim 37, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.

39. A method for automatically capturing information from audio data, 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 user.

40. The method of claim 39, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversations and meetings.

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

42. The computer system of claim 41, wherein the activity detection module uses natural language processing to detect starting conditions for data extraction based on audio data and computer operating context.

43. A method for automatically capturing information from audio data, 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 user.

44. The method of claim 43, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversations and meetings.

45. A computer-readable medium containing a program of instructions for automatically capturing information from audio data, wherein the program of instructions uses machine learning algorithms to detect starting conditions for data extraction and identifies salient patterns in the audio data.

46. The computer-readable medium of claim 45, wherein the program of instructions provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

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

48. The system of claim 47, wherein the activity detection module uses natural language processing to detect starting conditions for data extraction based on audio data and computer operating context.

49. A method for automatically capturing information from audio data, 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 user.

50. The method of claim 49, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversations and meetings.

Claim 1. A computer system for automatically capturing information from audio data, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to provide the extracted text and salient patterns to a user.

Claim 2. The computer system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.

Claim 3. A method for automatically capturing information from audio data, 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 user.

Claim 4. The method of claim 3, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversations and meetings.

Claim 5. A computer-readable medium containing a program of instructions for automatically capturing information from audio data, wherein the program of instructions uses natural language processing to detect starting conditions for data extraction and identifies salient patterns in the audio data.

Claim 6. The computer-readable medium of claim 5, wherein the program of instructions provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

Claim 7. A system for automatically capturing information from audio data, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to provide the extracted text and salient patterns to a user.

Claim 8. The system of claim 7, wherein the activity detection module uses natural language processing to detect starting conditions for data extraction based on audio data and computer operating context.

Claim 9. A method for automatically capturing information from audio data, 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 user.

Claim 10. The method of claim 9, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversations and meetings.

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

Claim 12. The computer system of claim 11, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.

Claim 13. A computer-readable medium containing a program of instructions for automatically capturing information from audio data, wherein the program of instructions uses natural language processing to detect starting conditions for data extraction and identifies salient patterns in the audio data.

Claim 14. The computer-readable medium of claim 13, wherein the program of instructions provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

Claim 15. A system for automatically capturing information from audio data, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to provide the extracted text and salient patterns to a user.

Claim 16. The system of claim 15, wherein the activity detection module uses natural language processing to detect starting conditions for data extraction based on audio data and computer operating context.

Claim 17. A method for automatically capturing information from audio data, 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 user.

Claim 18. The method of claim 17, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversations and meetings.

Claim 19. A computer system for automatically capturing information from audio data, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to provide the extracted text and salient patterns to a user.

Claim 20. The computer system of claim 19, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.

Claim 21. A computer-readable medium containing a program of instructions for automatically capturing information from audio data, wherein the program of instructions uses natural language processing to detect starting conditions for data extraction and identifies salient patterns in the audio data.

Claim 22. The computer-readable medium of claim 21, wherein the program of instructions provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

Claim 23. A system for automatically capturing information from audio data, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to provide the extracted text and salient patterns to a user.

Claim 24. The system of claim 23, wherein the activity detection module uses natural language processing to detect starting conditions for data extraction based on audio data and computer operating context.

Claim 25. A method for automatically capturing information from audio data, 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 user.

Claim 26. The method of claim 25, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversations and meetings.

Claim 27. A computer system for automatically capturing information from audio data, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to provide the extracted text and salient patterns to a user.

Claim 28. The computer system of claim 27, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.

Claim 29. A computer-readable medium containing a program of instructions for automatically capturing information from audio data, wherein the program of instructions uses natural language processing to detect starting conditions for data extraction and identifies salient patterns in the audio data.

Claim 30. The computer-readable medium of claim 29, wherein the program of instructions provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

Excelente goma. No es ruidosa, mantiene bien el camino tanto en mojado como en asfalto seco.

Elegí la goma, la vi en el top, el precio y la calidad son excelentes

Se adhieren muy bien al camino, desgaste muy bajo

Buena goma

A su esposa le gustó.

Basura, devolución definitivamente!!!! caucho viejo de 11 años, protector no es como en el anuncio