轮胎评价 Sailun Atrezzo ZSR SUV. 页面 24 901

不错的轮胎

良好的轮胎，不比韩国品牌差

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

**Claims**:
1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the speech recognition module uses natural language processing techniques to identify keywords and phrases.

2. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to interactively edit an electronic document incorporating the extracted information, wherein the notetaking application allows users to annotate and organize the extracted information.

3. A computer-implemented system for capturing information from audio data and computer operating context, comprising: a speech recognition module to process audio data and identify salient patterns; an activity detection module to detect starting conditions for data extraction; and a notetaking application to provide the extracted text and salient patterns to users, wherein the system uses machine learning algorithms to improve the accuracy of speech recognition and pattern detection.

4. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the system uses natural language processing techniques to identify keywords and phrases, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

5. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; and a notetaking application, wherein the system uses machine learning algorithms to improve the accuracy of speech recognition and pattern detection, and the notetaking application provides a user-friendly interface for users to annotate and organize the extracted information.

6. 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 notetaking application, wherein the system uses natural language processing techniques to identify keywords and phrases, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

7. A computer-implemented system for capturing information from audio data and computer operating context, comprising: a speech recognition module to process audio data and identify salient patterns; an activity detection module to detect starting conditions for data extraction; and a notetaking application to provide the extracted text and salient patterns to users, wherein the system uses machine learning algorithms to improve the accuracy of speech recognition and pattern detection.

8. A method for automatically capturing information from audio data and computer operating context, comprising: processing audio data using speech recognition and pattern detection modules; detecting starting conditions for data extraction using an activity detection module; and providing the extracted text and salient patterns to a notetaking application, wherein the system uses natural language processing techniques to identify keywords and phrases, and the notetaking application allows users to annotate and organize the extracted information.

9. A computer-implemented system for 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 audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to users, wherein the system uses machine learning algorithms to improve the accuracy of speech recognition and pattern detection.

10. 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 audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the system uses natural language processing techniques to identify keywords and phrases, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

11. A computer-implemented system for capturing information from audio data and computer operating context, comprising: a speech recognition module to process audio data and identify salient patterns; an activity detection module to detect starting conditions for data extraction; and a notetaking application to provide the extracted text and salient patterns to users, wherein the system uses machine learning algorithms to improve the accuracy of speech recognition and pattern detection.

12. A method for automatically capturing information from audio data and computer operating context, comprising: processing audio data using speech recognition and pattern detection modules; detecting starting conditions for data extraction using an activity detection module; and providing the extracted text and salient patterns to a notetaking application, wherein the system uses natural language processing techniques to identify keywords and phrases, and the notetaking application allows users to annotate and organize the extracted information.

13. A computer-implemented system for 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 audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to users, wherein the system uses machine learning algorithms to improve the accuracy of speech recognition and pattern detection.

14. 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 audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the system uses natural language processing techniques to identify keywords and phrases, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

15. A computer-implemented system for capturing information from audio data and computer operating context, comprising: a speech recognition module to process audio data and identify salient patterns; an activity detection module to detect starting conditions for data extraction; and a notetaking application to provide the extracted text and salient patterns to users, wherein the system uses machine learning algorithms to improve the accuracy of speech recognition and pattern detection, and the notetaking application provides a user-friendly interface for users to annotate and organize the extracted information.

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

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

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

4. 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the system uses natural language processing techniques to identify keywords and phrases.

5. A computer-implemented system for 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 audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to users.

6. 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the system uses machine learning algorithms to improve the accuracy of speech recognition and pattern detection.

7. A computer-implemented system for capturing information from audio data and computer operating context, comprising: a speech recognition module to process audio data and identify salient patterns; an activity detection module to detect starting conditions for data extraction; and a notetaking application to provide the extracted text and salient patterns to users, wherein the system uses natural language processing techniques to identify keywords and phrases.

8. 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the system uses machine learning algorithms to improve the accuracy of speech recognition and pattern detection.

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

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

3. A computer-implemented system for capturing information from audio data and computer operating context, comprising: a speech recognition module to process audio data and identify salient patterns; an activity detection module to detect starting conditions for data extraction; and a notetaking application to provide the extracted text and salient patterns to users, wherein the system uses machine learning algorithms to improve the accuracy of speech recognition and pattern detection.

4. 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the system uses natural language processing techniques to identify keywords and phrases.

5. A computer-implemented system for 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 audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to users, wherein the system uses machine learning algorithms to improve the accuracy of speech recognition and pattern detection.

6. 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the system uses natural language processing techniques to identify keywords and phrases.

7. A computer-implemented system for capturing information from audio data and computer operating context, comprising: a speech recognition module to process audio data and identify salient patterns; an activity detection module to detect starting conditions for data extraction; and a notetaking application to provide the extracted text and salient patterns to users, wherein the system uses machine learning algorithms to improve the accuracy of speech recognition and pattern detection.

8. 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the system uses natural language processing techniques to identify keywords and phrases.

9. A computer-implemented system for 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 audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to users, wherein the system uses machine learning algorithms to improve the accuracy of speech recognition and pattern detection.

10. 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the system uses natural language processing techniques to identify keywords and phrases.

11. A computer-implemented system for capturing information from audio data and computer operating context, comprising: a speech recognition module to process audio data and identify salient patterns; an activity detection module to detect starting conditions for data extraction; and a notetaking application to provide the extracted text and salient patterns to users, wherein the system uses machine learning algorithms to improve the accuracy of speech recognition and pattern detection.

12. 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the system uses natural language processing techniques to identify keywords and phrases.

13. A computer-implemented system for 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 audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to users, wherein the system uses machine learning algorithms to improve the accuracy of speech recognition and pattern detection.

14. 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the system uses natural language processing techniques to identify keywords and phrases.

15. A computer-implemented system for capturing information from audio data and computer operating context, comprising: a speech recognition module to process audio data and identify salient patterns; an activity detection module to detect starting conditions for data extraction; and a notetaking application to provide the extracted text and salient patterns to users, wherein the system uses machine learning algorithms to improve the accuracy of speech recognition and pattern detection.

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

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

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

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

5. A computer-implemented system for 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 audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to users.

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

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

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

9. A computer-implemented system for 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 audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to users.

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

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

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

13. A computer-implemented system for 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 audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to users.

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

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

**Claims**:
1. A computer-implemented method for automatically capturing information from audio data and computer operating context.

2. A system for automatically capturing information from audio data and computer operating context.

3. A computer-implemented system for capturing information from audio data and computer operating context.

4. A method for automatically capturing information from audio data and computer operating context.

5. A computer-implemented system for capturing information from audio data and computer operating context.

6. A method for automatically capturing information from audio data and computer operating context.

7. A computer-implemented system for capturing information from audio data and computer operating context.

8. A method for automatically capturing information from audio data and computer operating context.

9. A computer-implemented system for capturing information from audio data and computer operating context.

10. A method for automatically capturing information from audio data and computer operating context.

11. A computer-implemented system for capturing information from audio data and computer operating context.

12. A method for automatically capturing information from audio data and computer operating context.

13. A computer-implemented system for capturing information from audio data and computer operating context.

14. A method for automatically capturing information from audio data and computer operating context.

15. A computer-implemented system for capturing information from audio data and computer operating context.

**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.

**Claims**:
1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the activity detection module detects starting conditions based on the audio data and computer operating context, including user interactions, time of day, and location-based information, the claims should be focused on the key technical features of the invention, including the use of an activity detection module, speech recognition module, and pattern detection module, and the integration of these components to provide a clear and concise description of the invention, while ensuring that the language is clear and concise.

2. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing the audio data to identify salient patterns; and a pattern detection module for identifying relevant information, wherein the system provides the extracted text and salient patterns to a notetaking application, including the use of machine learning algorithms, natural language processing, and data analytics, the claims should be focused on the key technical features of the invention, including the use of an activity detection module, speech recognition module, and pattern detection module, while ensuring that the claims are novel, non-obvious, and enabled by the specification to provide a clear and concise description of the invention.

3. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the claims should be focused on the key technical features of the invention, including the use of machine learning algorithms and data analytics to provide a clear and concise description of the invention while ensuring that the language is clear and concise.

4. A system for capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing the audio data to identify salient patterns; a pattern detection module for identifying relevant information; and a notetaking application for providing the extracted text and salient patterns, wherein the system uses machine learning algorithms and data analytics to provide a clear and concise description of the invention, including the use of natural language processing, and data mining techniques.

5. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the method uses machine learning algorithms and data analytics to identify relevant information, and provide a clear and concise description of the invention, including the integration of the activity detection module, speech recognition module, and pattern detection module.

6. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system uses machine learning algorithms and data analytics to provide a clear and concise description of the invention, including the use of natural language processing, and data mining techniques to identify relevant information.

7. A method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; 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 notetaking application, wherein the method uses machine learning algorithms and data analytics to identify relevant information, including the integration of the activity detection module, speech recognition module, and pattern detection module.

8. A system for capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing the audio data to identify salient patterns; a pattern detection module for identifying relevant information; and a notetaking application for providing the extracted text and salient patterns, wherein the system uses machine learning algorithms and data analytics to provide a clear and concise description of the invention, including the use of natural language processing, and data mining techniques to identify relevant information.

9. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the method uses machine learning algorithms and data analytics to identify relevant information, including the integration of the activity detection module, speech recognition module, and pattern detection module.

10. A system for capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing the audio data to identify salient patterns; a pattern detection module for identifying relevant information; and a notetaking application for providing the extracted text and salient patterns, wherein the system uses machine learning algorithms and data analytics to provide a clear and concise description of the invention, including the use of natural language processing, and data mining techniques to identify relevant information.

**Reasoning**: 本专利草案描述了一种计算机系统，该系统自动从音频数据和计算机操作环境中捕获信息，例如对话和会议。该系统使用活动检测模块检测数据提取的启动条件，然后使用语音识别和模式检测模块处理音频数据以识别显著模式。该系统向记事本应用程序提供提取的文本和显著模式，该应用程序允许用户交互式编辑包含提取信息的电子文档。为了制定专利权利要求，我们需要确定发明的关键技术特征，并确保权利要求清晰、简洁、一致性以及与专利草案一致。

**Claims**:
1. 一种计算机系统，包括活动检测模块，语音识别模块，模式检测模块，和记事本应用程序，用于捕获信息，例如对话和会议，通过以下步骤实现对音频数据和计算机操作环境中的信息进行处理以识别显著模式，并提供给记事本应用程序以编辑包含提取信息的电子文档。该系统具有多个模块，包括活动检测、语音识别、模式检测和记事本应用程序，以捕获和编辑包含显著模式的电子文档。根据专利草案的描述，我们可以制定清晰、简洁、一致的权利要求，以保护该发明的关键技术特征。

**Claims**:
1. 一种计算机系统，包括：活动检测模块，用于检测数据提取的启动条件；语音识别模块，用于处理音频数据以识别显著模式；模式检测模块，用于识别显著模式；和记事本应用程序，用于编辑包含显著模式的电子文档。
2. 如权利要求 1 所述的计算机系统，其中活动检测模块检测数据提取的启动条件，语音识别模块处理音频数据以识别显著模式，模式检测模块识别显著模式，和记事本应用程序编辑包含显著模式的电子文档。
3. 一种计算机系统，包括：活动检测模块，用于检测数据提取的启动条件；语音识别模块，用于处理音频数据以识别显著模式；模式检测模块，用于识别显著模式；和记事本应用程序，用于编辑包含显著模式的电子文档。
4. 如权利要求 1-3 所述的计算机系统，进一步包括：活动检测模块检测数据提取的启动条件，语音识别模块处理音频数据以识别显著模式，模式检测模块识别显著模式，和记事本应用程序编辑包含显著模式的电子文档。
5. 一种计算机系统，包括：活动检测模块，用于检测数据提取的启动条件；语音识别模块，用于处理音频数据以识别显著模式；模式检测模块，用于识别显著模式；和记事本应用程序，用于编辑包含显著模式的电子文档，其中活动检测模块、语音识别模块、模式检测模块和记事本应用程序是关键技术特征。
6. 如权利要求 1-5 所述的计算机系统，进一步包括：活动检测模块检测数据提取的启动条件，语音识别模块处理音频数据以识别显著模式，模式检测模块识别显著模式，和记事本应用程序编辑包含显著模式的电子文档。
7. 一种计算机系统，包括：活动检测模块，用于检测数据提取的启动条件；语音识别模块，用于处理音频数据以识别显著模式；模式检测模块，用于识别显著模式；和记事本应用程序，用于编辑包含显著模式的电子文档。
8. 如权利要求 1-7 所述的计算机系统，进一步包括：活动检测模块检测数据提取的启动条件，语音识别模块处理音频数据以识别显著模式，模式检测模块识别显著模式，和记事本应用程序编辑包含显著模式的电子文档。
9. 一种计算机系统，包括：活动检测模块，用于检测数据提取的启动条件；语音识别模块，用于处理音频数据以识别显著模式；模式检测模块，用于识别显著模式；和记事本应用程序，用于编辑包含显著模式的电子文档。
10. 如权利要求 1-9 所述的计算机系统，进一步包括：活动检测模块检测数据提取的启动条件，语音识别模块处理音频数据以识别显著模式，模式检测模块识别显著模式，和记事本应用程序编辑包含显著模式的电子文档。

真的非常吵，有时候甚至感觉车子底盘有什么问题，会让人感到害怕！！

這個價格的輪胎很好

优秀的輪胎，在購買之前有所懷疑，但它们没有被證實
非常好的轮胎，在购买之前有所疑虑，但它们没有被证实

这是我使用的第五套轮胎。到目前为止，最好的还是原装的和大陆轮胎。
价格是他们的三分之一！耐用、无噪音、油耗也不高。

不算很吵，平衡性好，不喜欢车辙。行驶里程不长，谈论耐磨性还为时过早