轮胎评价 Doublestar DW08. Страница 11 505

輪胎很好。胎面花紋很深。可以當作全季胎使用。已經全部換上了。老公對這次購買很滿意。

一切都很好。轮胎很好，在安装时有人问我在哪里买的，它们适用于Peugeot Partner。

???

輪胎很好，不會发出噪音，行駛在路面上很平穩，推薦。

膠胎似乎还不错，我们等待着冬天。但是这种气味真的是难以忍受。

輪胎很好，2024年出產

品質非常好，發貨很快，謝謝賣家 ???? 推薦

**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 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 detects starting conditions based on audio data and computer operating context, such as conversations and meetings.
3. A method for automatically capturing information from audio data, 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 speech recognition module uses machine learning algorithms to identify salient patterns in the audio data.
5. A computer-readable medium storing a program of instructions for controlling the system of claim 1 to interactively edit an electronic document incorporating the extracted information.
6. The computer-readable medium of claim 5, wherein the program of instructions controls the activity detection module to detect starting conditions based on audio data and computer operating context.
7. A system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application.
8. The system of claim 7, wherein the speech recognition module processes audio data using natural language processing algorithms.
9. A method for automatically capturing information from audio data, 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 pattern detection module identifies keywords and phrases in the audio data.
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 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 machine learning algorithms to detect starting conditions based on audio data and computer operating context.
13. A computer-readable medium storing a program of instructions for controlling the system of claim 11 to provide the extracted text and salient patterns to a note-taking application.
14. The computer-readable medium of claim 13, wherein the program of instructions controls the speech recognition module to process audio data using natural language processing algorithms.
15. A system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
16. The system of claim 15, wherein the activity detection module detects starting conditions based on audio data and computer operating context, such as conversations and meetings.
17. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application, wherein the method uses machine learning algorithms to identify salient patterns.
18. The method of claim 17, wherein the speech recognition module uses natural language processing algorithms to process audio data.
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 a note-taking application to interactively edit an electronic document incorporating the extracted information, wherein the system provides the extracted text and salient patterns to the note-taking application.
20. The computer system of claim 19, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.

**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 note-taking application to interactively edit an electronic document incorporating the extracted information.
2. The system of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, such as conversations and meetings.
3. A method for automatically capturing information from audio data, 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 speech recognition module uses machine learning algorithms to identify salient patterns in the audio data.
5. A computer-readable medium storing a program of instructions for controlling the system of claim 1 to interactively edit an electronic document incorporating the extracted information.
6. The computer-readable medium of claim 5, wherein the program of instructions controls the activity detection module to detect starting conditions based on audio data and computer operating context.
7. A system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
8. The system of claim 7, wherein the activity detection module uses machine learning algorithms to detect starting conditions 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; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application, wherein the method uses natural language processing algorithms to identify salient patterns.
10. The method of claim 9, wherein the speech recognition module processes audio data using natural language processing algorithms.
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 a note-taking application to interactively edit an electronic document incorporating the extracted information, wherein the system provides the extracted text and salient patterns to the note-taking application.
12. The computer system of claim 11, wherein the activity detection module detects starting conditions based on audio data and computer operating context, such as conversations and meetings.
13. A computer-readable medium storing a program of instructions for controlling the system of claim 11 to provide the extracted text and salient patterns to a note-taking application.
14. The computer-readable medium of claim 13, wherein the program of instructions controls the speech recognition module to process audio data using natural language processing algorithms.
15. A system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
16. The system of claim 15, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
17. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application, wherein the method uses machine learning algorithms to identify salient patterns.
18. The method of claim 17, wherein the speech recognition module uses natural language processing algorithms to process audio data.
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 a note-taking application to interactively edit an electronic document incorporating the extracted information, wherein the system provides the extracted text and salient patterns to the note-taking application.
20. The computer system of claim 19, wherein the activity detection module detects starting conditions based on audio data and computer operating context, such as conversations and meetings.

**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 note-taking application to interactively edit an electronic document incorporating the extracted information.
2. The system of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, such as conversations and meetings.
3. A method for automatically capturing information from audio data, 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 speech recognition module uses machine learning algorithms to identify salient patterns in the audio data.
5. A computer-readable medium storing a program of instructions for controlling the system of claim 1 to interactively edit an electronic document incorporating the extracted information.
6. The computer-readable medium of claim 5, wherein the program of instructions controls the activity detection module to detect starting conditions based on audio data and computer operating context.
7. A system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
8. The system of claim 7, wherein the activity detection module uses machine learning algorithms to detect starting conditions 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; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application, wherein the method uses natural language processing algorithms to identify salient patterns.
10. The method of claim 9, wherein the speech recognition module processes audio data using natural language processing algorithms.
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 a note-taking application to interactively edit an electronic document incorporating the extracted information, wherein the system provides the extracted text and salient patterns to the note-taking application.
12. The computer system of claim 11, wherein the activity detection module detects starting conditions based on audio data and computer operating context, such as conversations and meetings.
13. A computer-readable medium storing a program of instructions for controlling the system of claim 11 to provide the extracted text and salient patterns to a note-taking application.
14. The computer-readable medium of claim 13, wherein the program of instructions controls the speech recognition module to process audio data using natural language processing algorithms.
15. A system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
16. The system of claim 15, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
17. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application, wherein the method uses machine learning algorithms to identify salient patterns.
18. The method of claim 17, wherein the speech recognition module uses natural language processing algorithms to process audio data.
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 a note-taking application to interactively edit an electronic document incorporating the extracted information, wherein the system provides the extracted text and salient patterns to the note-taking application.
20. The computer system of claim 19, wherein the activity detection module detects starting conditions based on audio data and computer operating context, such as conversations and meetings.

**Claims**:
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 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 detects starting conditions 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; 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 speech recognition module uses machine learning algorithms to identify salient patterns in the audio data.
5. A computer-readable medium storing a program of instructions for controlling the system of claim 1 to interactively edit an electronic document incorporating the extracted information.
6. The computer-readable medium of claim 5, wherein the program of instructions controls the activity detection module to detect starting conditions based on audio data and computer operating context.
7. A system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
8. The system of claim 7, wherein the activity detection module uses machine learning algorithms to detect starting conditions 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; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application, wherein the method uses natural language processing algorithms to identify salient patterns.
10. The method of claim 9, wherein the speech recognition module processes audio data using natural language processing algorithms.
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 a note-taking application to interactively edit an electronic document incorporating the extracted information, wherein the system provides the extracted text and salient patterns to the note-taking application.
12. The computer system of claim 11, wherein the activity detection module detects starting conditions based on audio data and computer operating context, such as conversations and meetings.
13. A computer-readable medium storing a program of instructions for controlling the system of claim 11 to provide the extracted text and salient patterns to a note-taking application.
14. The computer-readable medium of claim 13, wherein the program of instructions controls the speech recognition module to process audio data using natural language processing algorithms.
15. A system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
16. The system of claim 15, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
17. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application, wherein the method uses machine learning algorithms to identify salient patterns.
18. The method of claim 17, wherein the speech recognition module uses natural language processing algorithms to process audio data.
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 a note-taking application to interactively edit an electronic document incorporating the extracted information, wherein the system provides the extracted text and salient patterns to the note-taking application.
20. The computer system of claim 19, wherein the activity detection module detects starting conditions based on audio data and computer operating context, such as conversations and meetings.

**Claims**:
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 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 detects starting conditions 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; 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 speech recognition module uses machine learning algorithms to identify salient patterns in the audio data.
5. A computer-readable medium storing a program of instructions for controlling the system of claim 1 to interactively edit an electronic document incorporating the extracted information.
6. The computer-readable medium of claim 5, wherein the program of instructions controls the activity detection module to detect starting conditions based on audio data and computer operating context.
7. A system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
8. The system of claim 7, wherein the activity detection module uses machine learning algorithms to detect starting conditions 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; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application, wherein the method uses natural language processing algorithms to identify salient patterns.
10. The method of claim 9, wherein the speech recognition module processes audio data using natural language processing algorithms.
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 a note-taking application to interactively edit an electronic document incorporating the extracted information, wherein the system provides the extracted text and salient patterns to the note-taking application.
12. The computer system of claim 11, wherein the activity detection module detects starting conditions based on audio data and computer operating context, such as conversations and meetings.
13. A computer-readable medium storing a program of instructions for controlling the system of claim 11 to provide the extracted text and salient patterns to a note-taking application.
14. The computer-readable medium of claim 13, wherein the program of instructions controls the speech recognition module to process audio data using natural language processing algorithms.
15. A system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
16. The system of claim 15, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
17. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application, wherein the method uses machine learning algorithms to identify salient patterns.
18. The method of claim 17, wherein the speech recognition module uses natural language processing algorithms to process audio data.
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 a note-taking application to interactively edit an electronic document incorporating the extracted information, wherein the system provides the extracted text and salient patterns to the note-taking application.
20. The computer system of claim 19, wherein the activity detection module detects starting conditions based on audio data and computer operating context, such as conversations and meetings.

**Claims**:
1. 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 a speech recognition module and a pattern detection module; and providing the extracted text and salient patterns to a note-taking application.
2. The method of claim 1, wherein the speech recognition module uses machine learning algorithms to identify salient patterns in the audio data.
3. 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 a note-taking application to interactively edit an electronic document incorporating the extracted information.
4. The computer system of claim 3, wherein the activity detection module detects starting conditions based on audio data and computer operating context.
5. A computer-readable medium storing a program of instructions for controlling the computer system of claim 3 to interactively edit an electronic document incorporating the extracted information.
6. The computer-readable medium of claim 5, wherein the program of instructions controls the speech recognition module to process audio data using natural language processing algorithms.
7. A system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
8. The system of claim 7, wherein the activity detection module uses machine learning algorithms to detect starting conditions 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; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application, wherein the method uses natural language processing algorithms to identify salient patterns.
10. The method of claim 9, wherein the speech recognition module processes audio data using natural language processing algorithms.
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 a note-taking application to interactively edit an electronic document incorporating the extracted information, wherein the system provides the extracted text and salient patterns to the note-taking application.
12. The computer system of claim 11, wherein the activity detection module detects starting conditions based on audio data and computer operating context, such as conversations and meetings.
13. A computer-readable medium storing a program of instructions for controlling the computer system of claim 11 to provide the extracted text and salient patterns to a note-taking application.
14. The computer-readable medium of claim 13, wherein the program of instructions controls the speech recognition module to process audio data using natural language processing algorithms.
15. A system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
16. The system of claim 15, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
17. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application, wherein the method uses machine learning algorithms to identify salient patterns.
18. The method of claim 17, wherein the speech recognition module uses natural language processing algorithms to process audio data.
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 a note-taking application to interactively edit an electronic document incorporating the extracted information, wherein the system provides the extracted text and salient patterns to the note-taking application.
20. The computer system of claim 19, wherein the activity detection module detects starting conditions based on audio data and computer operating context, such as conversations and meetings.

**Claims**:
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 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 detects starting conditions 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; 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 speech recognition module uses machine learning algorithms to identify salient patterns in the audio data.
5. A computer-readable medium storing a program of instructions for controlling the system of claim 1 to interactively edit an electronic document incorporating the extracted information.
6. The computer-readable medium of claim 5, wherein the program of instructions controls the speech recognition module to process audio data using natural language processing algorithms.
7. A system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
8. The system of claim 7, wherein the activity detection module uses machine learning algorithms to detect starting conditions 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; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application, wherein the method uses natural language processing algorithms to identify salient patterns.
10. The method of claim 9, wherein the speech recognition module processes audio data using natural language processing algorithms.
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 a note-taking application to interactively edit an electronic document incorporating the extracted information, wherein the system provides the extracted text and salient patterns to the note-taking application.
12. The computer system of claim 11, wherein the activity detection module detects starting conditions based on audio data and computer operating context, such as conversations and meetings.
13. A computer-readable medium storing a program of instructions for controlling the system of claim 11 to provide the extracted text and salient patterns to a note-taking application.
14. The computer-readable medium of claim 13, wherein the program of instructions controls the speech recognition module to process audio data using natural language processing algorithms.
15. A system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.
16. The system of claim 15, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
17. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application, wherein the method uses machine learning algorithms to identify salient patterns.
18. The method of claim 17, wherein the speech recognition module uses natural language processing algorithms to process audio data.
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 a note-taking application to interactively edit an electronic document incorporating the extracted information, wherein the system provides the extracted text and salient patterns to the note-taking application.
20. The computer system of claim 19, wherein the activity detection module detects starting conditions based on audio data and computer operating context, such as conversations and meetings.

一切都按时到达，很好的轮胎

很好的轮胎，软的橡胶有弹性，发货很快。推荐