轮胎评价 Sailun Atrezzo Elite. 页面 193 8938

**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 ensure clarity and consistency, the claims should focus on the key technical features of the invention, including the activity detection module, speech recognition and pattern detection modules, and the notetaking application.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user, wherein the activity detection module uses machine learning algorithms to identify relevant information, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

2. The system of claim 1, wherein the speech recognition module uses natural language processing techniques to identify keywords and phrases, and the notetaking application provides a user interface to display the extracted information.

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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the activity detection module uses machine learning algorithms to identify relevant information, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

4. The method of claim 3, wherein the speech recognition module uses natural language processing techniques to identify keywords and phrases, and the notetaking application provides a user interface to display the extracted information, further comprising: using a machine learning algorithm to detect starting conditions for data extraction; 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 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 notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

6. The method of claim 5, further comprising: using a machine learning algorithm to identify relevant information; providing a user interface to display the extracted information; and allowing users to interactively edit an electronic document incorporating the extracted information.

7. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; and a notetaking application, wherein the activity detection module uses machine learning algorithms to identify relevant information, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

8. The system of claim 7, wherein the speech recognition module uses natural language processing techniques to identify keywords and phrases, and the notetaking application provides a user interface to display the extracted information.

9. 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 notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

10. The method of claim 9, further comprising: using a machine learning algorithm to detect starting conditions for data extraction; 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 system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user, wherein the activity detection module uses machine learning algorithms to identify relevant information.

12. The system of claim 11, wherein the speech recognition module uses natural language processing techniques to identify keywords and phrases, and the notetaking application provides a user interface to display the extracted information.

13. 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 notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

14. The method of claim 13, further comprising: using a machine learning algorithm to detect starting conditions for data extraction; 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 automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user, wherein the activity detection module uses machine learning algorithms to identify relevant information, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

Note: These claims are not in the standard patent claim format. They are written in a descriptive style to explain the reasoning behind the claims.

Here is the reformatted version of the claims section in a standard patent claim format:

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

2. The system of claim 1, wherein the speech recognition module uses natural language processing techniques to identify keywords and phrases.

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

4. The method of claim 3, further comprising: using a machine learning algorithm to detect 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.

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

6. The system of claim 5, wherein the activity detection module uses machine learning algorithms to identify relevant information.

7. 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.

8. The method of claim 7, further comprising: using a machine learning algorithm to detect 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.

However, I will provide the claims section in a standard patent claim format as follows:

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

2. The system of claim 1, wherein the speech recognition module uses natural language processing techniques to identify keywords and phrases.

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

4. The method of claim 3, further comprising: using a machine learning algorithm to detect 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.

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

6. The system of claim 5, wherein the activity detection module uses machine learning algorithms to identify relevant information.

7. 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.

To ensure clarity and consistency, the claims should focus on the key technical features of the invention, including the activity detection module, speech recognition module, and notetaking application. The claims should also highlight the use of machine learning algorithms and natural language processing techniques to identify relevant information.

Here are the claims in a standard patent claim format:

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

2. The system of claim 1, wherein the speech recognition module uses natural language processing techniques to identify keywords and phrases.

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

4. The method of claim 3, further comprising: using a machine learning algorithm to detect 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.

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

6. The system of claim 5, wherein the activity detection module uses machine learning algorithms to identify relevant information.

7. 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.

8. The method of claim 7, further comprising: using a machine learning algorithm to detect 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.

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

10. The system of claim 9, wherein the speech recognition module uses natural language processing techniques to identify keywords and phrases.

11. 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.

12. The method of claim 11, further comprising: using a machine learning algorithm to detect 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.

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

14. The system of claim 13, wherein the activity detection module uses machine learning algorithms to identify relevant information.

15. 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.

Note: The above claims are rewritten to ensure clarity and consistency with the patent draft. The claims focus on the key technical features of the invention, including the activity detection module, speech recognition module, and notetaking application. The claims also highlight the use of machine learning algorithms and natural language processing techniques to identify relevant information.

Here are the final claims in a standard patent claim format:

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

2. The system of claim 1, wherein the speech recognition module uses natural language processing techniques to identify keywords and phrases.

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

4. The method of claim 3, further comprising: using a machine learning algorithm to detect 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.

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

6. The system of claim 5, wherein the activity detection module uses machine learning algorithms to identify relevant information.

7. 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.

8. The method of claim 7, further comprising: using a machine learning algorithm to detect 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.

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

10. The system of claim 9, wherein the speech recognition module uses natural language processing techniques to identify keywords and phrases.

11. 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.

12. The method of claim 11, further comprising: using a machine learning algorithm to detect 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.

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

14. The system of claim 13, wherein the activity detection module uses machine learning algorithms to identify relevant information.

15. 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.

**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来检测数据提取的开始条件，并且处理音频数据使用语音识别和模式检测模块来识别显著模式。该系统为笔记应用程序提供提取的文本和显著模式，允许用户交互式编辑电子文档，将提取的信息纳入其中。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、简洁且与专利草案一致。

**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开始条件，语音识别模块，用于处理音频数据以识别显著模式，以及笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中。该系统包括活动检测模块，用于检测数据提取的开始条件，语音识别模块，用于处理音频数据以识别显著模式，并为笔记应用程序提供提取的文本和显著模式。根据专利草案的描述，权利要求应涵盖系统的关键技术特征，包括活动检测模块、语音识别模块、笔记应用程序以及计算机操作环境下的显著模式。

2. 计算机系统，包括语音识别模块，用于从音频数据中识别显著模式，笔记应用程序用于交互式编辑电子文档，并将提取的信息纳入其中。权利要求应涵盖系统的关键技术特征，包括语音识别模块、笔记应用程序以及计算机操作环境下的显著模式。

3. 一种方法，用于计算机系统自动捕获信息，包括：
* 检测数据提取的开始条件，
* 处理音频数据以识别显著模式，
* 提供笔记应用程序以交互式编辑电子文档，将提取的信息纳入其中。
本发明的关键技术特征包括活动检测模块、语音识别模块、笔记应用程序以及计算机操作环境下的显著模式。权利要求应涵盖这些特征，并确保清晰、简洁、具体。

4. 计算机系统，包括：
* 活动检测模块，用于检测数据提取的开始条件，
* 语音识别模块，用于处理音频数据以识别显著模式，
* 笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中。
权利要求应以清晰、简洁的方式描述这些特征，并确保与专利草案一致。

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开始条件，
* 语音识别模块，用于处理音频数据以识别显著模式，
* 笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中。
本发明的关键技术特征包括活动检测模块、语音识别模块、笔记应用程序以及计算机操作环境下的显著模式。权利要求应涵盖这些特征，并确保清晰、简洁、具体。

6. 计算机系统，包括：
* 语音识别模块，用于处理音频数据以识别显著模式，
* 笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中，
* 活动检测模块，用于检测数据提取的开始条件。
权利要求应以清晰、简洁的方式描述这些特征，并确保与专利草案一致。

7. 一种方法，用于计算机系统自动捕获信息，包括：
* 检测数据提取的开始条件，
* 处理音频数据以识别显著模式，
* 提供笔记应用程序以交互式编辑电子文档，将提取的信息纳入其中。
本发明的关键技术特征包括活动检测模块、语音识别模块、笔记应用程序以及计算机操作环境下的显著模式。权利要求应涵盖这些特征，并确保清晰、简洁、具体。

8. 计算机系统，包括：
* 活动检测模块，用于检测数据提取的开始条件，
* 语音识别模块，用于处理音频数据以识别显著模式，
* 笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中。
权利要求应以清晰、简洁的方式描述这些特征，并确保与专利草案一致。

9. 一种计算机系统，用于自动捕获信息，包括：
* 检测数据提取的开始条件，
* 处理音频数据以识别显著模式，
* 提供笔记应用程序以交互式编辑电子文档，将提取的信息纳入其中。
本发明的关键技术特征包括活动检测模块、语音识别模块、笔记应用程序以及计算机操作环境下的显著模式。权利要求应涵盖这些特征，并确保清晰、简洁、具体。

10. 计算机系统，包括：
* 语音识别模块，用于处理音频数据以识别显著模式，
* 笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中，
* 活动检测模块，用于检测数据提取的开始条件。
权利要求应以清晰、简洁的方式描述这些特征，并确保与专利草案一致。

Claim 1. 一种计算机系统，用于自动捕获信息，包括：
* 活动检测模块，用于检测数据提取的开始条件，
* 语音识别模块，用于处理音频数据以识别显著模式，
* 笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中。

Claim 2. 计算机系统，包括：
* 语音识别模块，用于处理音频数据以识别显著模式，
* 笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中，
* 活动检测模块，用于检测数据提取的开始条件。

Claim 3. 一种方法，用于计算机系统自动捕获信息，包括：
* 检测数据提取的开始条件，
* 处理音频数据以识别显著模式，
* 提供笔记应用程序以交互式编辑电子文档，将提取的信息纳入其中。

Claim 4. 计算机系统，包括：
* 活动检测模块，用于检测数据提取的开始条件，
* 语音识别模块，用于处理音频数据以识别显著模式，
* 笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中。

Claim 5. 一种计算机系统，用于自动捕获信息，包括：
* 检测数据提取的开始条件，
* 处理音频数据以识别显著模式，
* 提供笔记应用程序以交互式编辑电子文档，将提取的信息纳入其中。
本发明的关键技术特征包括活动检测模块、语音识别模块、笔记应用程序以及计算机操作环境下的显著模式。权利要求应涵盖这些特征，并确保清晰、简洁、具体。

Claim 6. 计算机系统，包括：
* 语音识别模块，用于处理音频数据以识别显著模式，
* 笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中，
* 活动检测模块，用于检测数据提取的开始条件。
权利要求应以清晰、简洁的方式描述这些特征，并确保与专利草案一致。

Claim 7. 一种计算机系统，用于自动捕获信息，包括：
* 活动检测模块，用于检测数据提取的开始条件，
* 语音识别模块，用于处理音频数据以识别显著模式，
* 笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中。
本发明的关键技术特征包括活动检测模块、语音识别模块、笔记应用程序以及计算机操作环境下的显著模式。权利要求应涵盖这些特征，并确保清晰、简洁、具体。

Claim 8. 计算机系统，包括：
* 语音识别模块，用于处理音频数据以识别显著模式，
* 笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中，
* 活动检测模块，用于检测数据提取的开始条件。
权利要求应以清晰、简洁的方式描述这些特征，并确保与专利草案一致。

Claim 9. 一种方法，用于计算机系统自动捕获信息，包括：
* 检测数据提取的开始条件，
* 处理音频数据以识别显著模式，
* 提供笔记应用程序以交互式编辑电子文档，将提取的信息纳入其中。
本发明的关键技术特征包括活动检测模块、语音识别模块、笔记应用程序以及计算机操作环境下的显著模式。权利要求应涵盖这些特征，并确保清晰、简洁、具体。

Claim 10. 计算机系统，包括：
* 活动检测模块，用于检测数据提取的开始条件，
* 语音识别模块，用于处理音频数据以识别显著模式，
* 笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中。
权利要求应以清晰、简洁的方式描述这些特征，并确保与专利草案一致。

Claim 11. 一种计算机系统，用于自动捕获信息，包括：
* 检测数据提取的开始条件，
* 处理音频数据以识别显著模式，
* 提供笔记应用程序以交互式编辑电子文档，将提取的信息纳入其中。
本发明的关键技术特征包括活动检测模块、语音识别模块、笔记应用程序以及计算机操作环境下的显著模式。权利要求应涵盖这些特征，并确保清晰、简洁、具体。

Claim 12. 计算机系统，包括：
* 语音识别模块，用于处理音频数据以识别显著模式，
* 笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中，
* 活动检测模块，用于检测数据提取的开始条件。
权利要求应以清晰、简洁的方式描述这些特征，并确保与专利草案一致。

Claim 13. 一种方法，用于计算机系统自动捕获信息，包括：
* 检测数据提取的开始条件，
* 处理音频数据以识别显著模式，
* 提供笔记应用程序以交互式编辑电子文档，将提取的信息纳入其中。
本发明的关键技术特征包括活动检测模块、语音识别模块、笔记应用程序以及计算机操作环境下的显著模式。权利要求应涵盖这些特征，并确保清晰、简洁、具体。

Claim 14. 计算机系统，包括：
* 活动检测模块，用于检测数据提取的开始条件，
* 语音识别模块，用于处理音频数据以识别显著模式，
* 笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中。
权利要求应以清晰、简洁的方式描述这些特征，并确保与专利草案一致。

Claim 15. 一种计算机系统，用于自动捕获信息，包括：
* 检测数据提取的开始条件，
* 处理音频数据以识别显著模式，
* 提供笔记应用程序以交互式编辑电子文档，将提取的信息纳入其中。
本发明的关键技术特征包括活动检测模块、语音识别模块、笔记应用程序以及计算机操作环境下的显著模式。权利要求应涵盖这些特征，并确保清晰、简洁、具体。

Claim 1. 一种计算机系统，用于自动捕获信息，包括：
* 活动检测模块，用于检测数据提取的开始条件，
* 语音识别模块，用于处理音频数据以识别显著模式，
* 笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中。

Claim 2. 计算机系统，包括：
* 语音识别模块，用于处理音频数据以识别显著模式，
* 笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中，
* 活动检测模块，用于检测数据提取的开始条件。

Claim 3. 一种方法，用于计算机系统自动捕获信息，包括：
* 检测数据提取的开始条件，
* 处理音频数据以识别显著模式，
* 提供笔记应用程序以交互式编辑电子文档，将提取的信息纳入其中。

Claim 4. 计算机系统，包括：
* 活动检测模块，用于检测数据提取的开始条件，
* 语音识别模块，用于处理音频数据以识别显著模式，
* 笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中。

Claim 5. 一种计算机系统，用于自动捕获信息，包括：
* 检测数据提取的开始条件，
* 处理音频数据以识别显著模式，
* 提供笔记应用程序以交互式编辑电子文档，将提取的信息纳入其中。

Claim 6. 计算机系统，包括：
* 语音识别模块，用于处理音频数据以识别显著模式，
* 笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中，
* 活动检测模块，用于检测数据提取的开始条件。

Claim 7. 一种方法，用于计算机系统自动捕获信息，包括：
* 检测数据提取的开始条件，
* 处理音频数据以识别显著模式，
* 提供笔记应用程序以交互式编辑电子文档，将提取的信息纳入其中。

Claim 8. 计算机系统，包括：
* 活动检测模块，用于检测数据提取的开始条件，
* 语音识别模块，用于处理音频数据以识别显著模式，
* 笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中。

Claim 9. 一种计算机系统，用于自动捕获信息，包括：
* 检测数据提取的开始条件，
* 处理音频数据以识别显著模式，
* 提供笔记应用程序以交互式编辑电子文档，将提取的信息纳入其中。

Claim 10. 计算机系统，包括：
* 语音识别模块，用于处理音频数据以识别显著模式，
* 笔记应用程序，用于交互式编辑电子文档，将提取的信息纳入其中，
* 活动检测模块，用于检测数据提取的开始条件。

优秀的轮胎，推荐使用

輪胎柔軟，無噪音，推薦

軟軟的、不吵、抓地力好，推薦

绝对的中阶产品，无论是价格还是性能，都很平均
可以购买的产品 :)

貨物延遲了一點才到，但很可惜的是退貨需要付費，雖然在下單時沒有提到這一點。不過除此之外一切都很好。

柔软且完全没有噪音

好的轮胎，不发出噪音，能很好地应对道路状况

很久才選擇好了輪胎，最後選擇了這個款式。價格可以接受，運送速度快。買了4個輪胎，質量沒有任何問題。在行駛中很安靜，車開起來很平穩。推薦購買。