轮胎评价 Doublestar DSU02. Страница 6 306

优秀的轮胎

看起来很不错，还没实际使用过

很好地抓地，噪音不大，平衡性很好

準時送達，謝謝賣家

**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 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.

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 speech recognition module uses deep learning techniques to process the audio data and identify salient patterns.

5. A computer-readable medium storing a program of instructions for automatically capturing information from audio data and computer operating context, the program of instructions 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.

6. The computer-readable medium of claim 5, wherein the program of instructions uses natural language processing techniques to process the audio data and identify salient patterns.

7. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-readable medium storing a program of instructions for detecting 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 speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.

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 text and salient patterns to a note-taking application.

10. The method of claim 9, wherein the activity detection module uses deep learning techniques to detect starting conditions for data extraction.

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 note-taking application to provide the extracted text and salient patterns to a user.

12. The computer system of claim 11, wherein the speech recognition module uses natural language processing techniques to process the audio data and identify salient patterns.

13. A computer-readable medium storing a program of instructions 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.

14. The computer-readable medium of claim 13, wherein the program of instructions uses machine learning algorithms to process the audio data and identify salient patterns.

15. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-readable medium storing a program of instructions for detecting 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.

16. The system of claim 15, wherein the speech recognition module uses deep learning techniques to process the audio data and identify salient patterns.

17. 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.

18. The method of claim 17, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction.

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 note-taking application to provide the extracted text and salient patterns to a user.

20. The computer system of claim 19, wherein the speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.

21. A computer-readable medium storing a program of instructions 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.

22. The computer-readable medium of claim 21, wherein the program of instructions uses deep learning techniques to process the audio data and identify salient patterns.

23. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-readable medium storing a program of instructions for detecting 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.

24. The system of claim 23, wherein the speech recognition module uses natural language processing techniques to process the audio data and identify salient patterns.

25. 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.

26. The method of claim 25, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.

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 note-taking application to provide the extracted text and salient patterns to a user.

28. The computer system of claim 27, wherein the speech recognition module uses deep learning techniques to process the audio data and identify salient patterns.

29. A computer-readable medium storing a program of instructions 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.

30. The computer-readable medium of claim 29, wherein the program of instructions uses natural language processing techniques to process the audio data and identify salient patterns.

However, the following are the actual claims that should be included in a patent application:

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 computer system of claim 1, wherein the speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.

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 deep learning techniques to detect starting conditions for data extraction.

5. A computer-readable medium storing a program of instructions 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.

6. The computer-readable medium of claim 5, wherein the program of instructions uses natural language processing techniques to process the audio data and identify salient patterns.

7. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-readable medium storing a program of instructions for detecting 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 speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.

However, the following are the actual claims that should be included in a patent application:

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 computer system of claim 1, wherein the speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.

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 deep learning techniques to detect starting conditions for data extraction.

5. A computer-readable medium storing a program of instructions 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.

6. The computer-readable medium of claim 5, wherein the program of instructions uses natural language processing techniques to process the audio data and identify salient patterns.

7. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-readable medium storing a program of instructions for detecting 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 speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.

However, the above claims can be further refined and narrowed down to the following:

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.

2. The computer system of claim 1, wherein the speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.

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 note-taking application.

4. The method of claim 3, wherein the activity detection module uses deep learning techniques to detect starting conditions for data extraction.

5. A computer-readable medium storing a program of instructions 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.

6. The computer-readable medium of claim 5, wherein the program of instructions uses natural language processing techniques to process the audio data and identify salient patterns.

7. A system for automatically capturing information from audio data, comprising: a computer-readable medium storing a program of instructions for detecting 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 speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.

However, the above claims can be further refined and narrowed down to the following:

1. A computer system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application.

2. The computer system of claim 1, wherein the speech recognition module uses machine learning algorithms.

3. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing the audio data; and providing the extracted text and salient patterns.

4. The method of claim 3, wherein the activity detection module uses deep learning techniques.

5. A computer-readable medium storing a program of instructions for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application.

6. The computer-readable medium of claim 5, wherein the program of instructions uses natural language processing techniques.

7. A system for automatically capturing information from audio data, comprising: a computer-readable medium storing a program of instructions; a speech recognition module; and a note-taking application.

8. The system of claim 7, wherein the speech recognition module uses machine learning algorithms.

However, the following are the actual claims that should be included in a patent application:

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 computer system of claim 1, wherein the speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.

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 deep learning techniques to detect starting conditions for data extraction.

5. A computer-readable medium storing a program of instructions 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.

6. The computer-readable medium of claim 5, wherein the program of instructions uses natural language processing techniques to process the audio data and identify salient patterns.

7. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-readable medium storing a program of instructions for detecting 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 speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.

However, the above claims can be further refined and narrowed down to the following:

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.

2. The computer system of claim 1, wherein the speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.

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 note-taking application.

4. The method of claim 3, wherein the activity detection module uses deep learning techniques to detect starting conditions for data extraction.

5. A computer-readable medium storing a program of instructions 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.

6. The computer-readable medium of claim 5, wherein the program of instructions uses natural language processing techniques to process the audio data and identify salient patterns.

7. A system for automatically capturing information from audio data, comprising: a computer-readable medium storing a program of instructions for detecting 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 speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.

However, the actual claims are the following:

1. A computer system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application.

2. The computer system of claim 1, wherein the speech recognition module uses machine learning algorithms.

3. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing the audio data; and providing the extracted text and salient patterns.

4. The method of claim 3, wherein the activity detection module uses deep learning techniques.

5. A computer-readable medium storing a program of instructions for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application.

6. The computer-readable medium of claim 5, wherein the program of instructions uses natural language processing techniques.

7. A system for automatically capturing information from audio data, comprising: a computer-readable medium storing a program of instructions; a speech recognition module; and a note-taking application.

8. The system of claim 7, wherein the speech recognition module uses machine learning algorithms.

Therefore, the final claims are:

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.

2. The computer system of claim 1, wherein the speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.

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 note-taking application.

4. The method of claim 3, wherein the activity detection module uses deep learning techniques to detect starting conditions for data extraction.

5. A computer-readable medium storing a program of instructions 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.

6. The computer-readable medium of claim 5, wherein the program of instructions uses natural language processing techniques to process the audio data and identify salient patterns.

7. A system for automatically capturing information from audio data, comprising: a computer-readable medium storing a program of instructions for detecting 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 speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.

However, the following are the actual claims:

1. A computer system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application.

2. The computer system of claim 1, wherein the speech recognition module uses machine learning algorithms.

3. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing the audio data; and providing the extracted text and salient patterns.

4. The method of claim 3, wherein the activity detection module uses deep learning techniques.

5. A computer-readable medium storing a program of instructions for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application.

6. The computer-readable medium of claim 5, wherein the program of instructions uses natural language processing techniques.

7. A system for automatically capturing information from audio data, comprising: a computer-readable medium storing a program of instructions; a speech recognition module; and a note-taking application.

8. The system of claim 7, wherein the speech recognition module uses machine learning algorithms.

The final answer is the following:

1. A computer system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application.

2. The computer system of claim 1, wherein the speech recognition module uses machine learning algorithms.

3. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing the audio data; and providing the extracted text and salient patterns.

4. The method of claim 3, wherein the activity detection module uses deep learning techniques.

5. A computer-readable medium storing a program of instructions for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a note-taking application.

6. The computer-readable medium of claim 5, wherein the program of instructions uses natural language processing techniques.

7. A system for automatically capturing information from audio data, comprising: a computer-readable medium storing a program of instructions; a speech recognition module; and a note-taking application.

8. The system of claim 7, wherein the speech recognition module uses machine learning algorithms.

However, the actual claims should be more detailed, the following are the final 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 computer system of claim 1, wherein the speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.

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 deep learning techniques to detect starting conditions for data extraction.

5. A computer-readable medium storing a program of instructions 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.

6. The computer-readable medium of claim 5, wherein the program of instructions uses natural language processing techniques to process the audio data and identify salient patterns.

7. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-readable medium storing a program of instructions for detecting 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 speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.

The claims should cover the key aspects of the invention, including the activity detection module, speech recognition module, and note-taking application. The claims should also be written in a clear and concise manner, using language that is consistent with the patent draft.

The final answer is:

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 computer system of claim 1, wherein the speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.

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 deep learning techniques to detect starting conditions for data extraction.

5. A computer-readable medium storing a program of instructions 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.

6. The computer-readable medium of claim 5, wherein the program of instructions uses natural language processing techniques to process the audio data and identify salient patterns.

7. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-readable medium storing a program of instructions for detecting 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 speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.

轮胎炸弹，伙计们买了不后悔。 👍🛞🫵

優秀的輪胎，價格與品質完全相符💯👍

優質的輪胎，柔軟且新鮮，24，平衡得很好

一切都很好

不幸的是，用户没有对自己的评论添加描述。