轮胎评价 WestLake ZuperEco Z-107. 页面 589 33366

**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-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 note-taking application, wherein the application allows users to interactively edit an electronic document incorporating the extracted information.

2. A computer system for 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 a note-taking application to interactively edit an electronic document incorporating the extracted information.

3. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection; and providing the extracted text to a note-taking application.

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

5. A method for interactively editing an electronic document, comprising: receiving extracted text from a computer system; allowing users to edit the document incorporating the extracted information; and providing a user interface for displaying the edited document.

6. A computer system for capturing information from audio data, comprising: a speech recognition module; a pattern detection module; and a note-taking application for interactively editing an electronic document incorporating the extracted information.

7. A method for automatically capturing information from conversations, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition; and providing the extracted text to a note-taking application for interactively editing an electronic document.

8. A computer-implemented system for capturing information from meetings, comprising: an activity detection module; a speech recognition module; and a note-taking application for interactively editing an electronic document incorporating the extracted information.

9. A method for 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 to a note-taking application for interactively editing an electronic document.

10. A computer system for automatically capturing information from conversations and meetings, comprising: a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

11. A method for interactively editing an electronic document, comprising: receiving extracted text from a computer system; allowing users to edit the document incorporating the extracted information; and providing a user interface for displaying the edited document.

12. A computer-implemented system for capturing information from audio data, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

13. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text to a note-taking application for interactively editing an electronic document.

14. A computer system for capturing information from conversations and meetings, comprising: a speech recognition module; a pattern detection module; and a note-taking application for interactively editing an electronic document incorporating the extracted information.

15. A method for 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 to a note-taking application for interactively editing an electronic document.

**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 note-taking application.
2. A computer system for capturing information from conversations and meetings, comprising: a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
3. A method for interactively editing an electronic document, comprising: receiving extracted text from a computer system; allowing users to edit the document incorporating the extracted information; and providing a user interface for displaying the edited document.
4. A computer-implemented system for capturing information from audio data, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.
5. A method for automatically capturing information from conversations, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text to a note-taking application for interactively editing an electronic document.
6. A computer system for capturing information from audio data, comprising: a speech recognition module; a pattern detection module; and a note-taking application for interactively editing an electronic document incorporating the extracted information.
7. A computer-implemented method for 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 to a note-taking application for interactively editing an electronic document.
8. A method for capturing information from conversations and meetings, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text to a note-taking application for interactively editing an electronic document.
9. A computer system for automatically capturing information from audio data, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.
10. A method for interactively editing an electronic document, comprising: receiving extracted text from a computer system; allowing users to edit the document incorporating the extracted information; and providing a user interface for displaying the edited document.
11. A computer-implemented system for capturing information from conversations and meetings, comprising: a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
12. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text to a note-taking application for interactively editing an electronic document.
13. A computer system for capturing information from conversations, comprising: a speech recognition module; a pattern detection module; and a note-taking application for interactively editing an electronic document incorporating the extracted information.
14. A method for 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 to a note-taking application for interactively editing an electronic document.
15. A computer-implemented system for capturing information from conversations and meetings, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

**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-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 note-taking application.

2. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module, a speech recognition module, and a pattern detection module, wherein the system provides the extracted text and salient patterns to a note-taking application.

3. A method for automatically capturing information from audio data, comprising: receiving audio data; detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application, wherein the claims are directed to the method, system, and computer-readable medium.

4. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data, wherein the instructions comprise: an activity detection module, a speech recognition module, and a pattern detection module, and wherein the instructions are executable by a processor to provide extracted text and salient patterns to a note-taking application.

5. A system for automatically capturing information from audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and salient patterns to a note-taking application.

6. A computer-implemented method for automatically capturing information from audio data, wherein the method comprises: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application, wherein the method is implemented using a computer-readable medium.

7. A system for automatically capturing information from audio data, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing the audio data; a pattern detection module for identifying salient patterns; and a note-taking application for providing the extracted text and salient patterns.

8. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data, wherein the instructions comprise: 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.

9. A method for automatically capturing information from audio data, comprising: receiving audio data; detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application, wherein the method is implemented using a computer-readable medium.

10. A system for automatically capturing information from audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and salient patterns to a note-taking application, wherein the system is implemented using a computer-readable medium.

11. A computer-implemented system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system provides the extracted text and salient patterns to the note-taking application.

12. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application, wherein the method is implemented using a computer-readable medium and provides an improved way of capturing information from audio data.

13. A system for automatically capturing information from audio data, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and salient patterns to a note-taking application, wherein the system is implemented using a computer-readable medium and provides an improved way of capturing information from audio data.

14. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data, wherein the instructions comprise: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application, wherein the instructions are executable by a processor to provide an improved way of capturing information from audio data.

15. A method for automatically capturing information from audio data, comprising: receiving audio data; detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application, wherein the method is implemented using a computer-readable medium and provides an improved way of capturing information from audio data.

**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 interactively edit an electronic document incorporating the extracted information.
2. The 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; 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 natural language processing techniques to identify salient patterns in the audio data.
5. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, the instructions comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
6. The computer-readable medium of claim 5, wherein the instructions use machine learning algorithms to identify salient patterns in the audio data.
7. A system for automatically capturing information from audio data and computer operating context, comprising: a computer system; an activity detection module; a speech recognition module; and a note-taking application.
8. The system of claim 7, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context.
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 note-taking application.
10. The method of claim 9, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data.
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 interactively edit an electronic document incorporating the extracted information.
12. The computer system of claim 11, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
13. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, the instructions comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
14. The computer-readable medium of claim 13, wherein the instructions use natural language processing techniques to identify salient patterns in the audio data.
15. A system for automatically capturing information from audio data and computer operating context, comprising: a computer system; an activity detection module; a speech recognition module; and a note-taking application, wherein the system uses machine learning algorithms to detect starting conditions for data extraction and identify salient patterns in the audio data.

**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 interactively edit an electronic document incorporating the extracted information.
2. The 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; 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 natural language processing techniques to identify salient patterns in the audio data.
5. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, the instructions comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
6. The computer-readable medium of claim 5, wherein the instructions use machine learning algorithms to identify salient patterns in the audio data.
7. A system for automatically capturing information from audio data and computer operating context, comprising: a computer system; an activity detection module; a speech recognition module; and a note-taking application, wherein the system uses machine learning algorithms to detect starting conditions for data extraction and identify salient patterns in the audio data.
8. The system of claim 7, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context.
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 note-taking application to interactively edit an electronic document incorporating the extracted information.
10. The computer system of claim 9, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data.
11. 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 note-taking application.
12. The method of claim 11, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
13. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, the instructions comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
14. The computer-readable medium of claim 13, wherein the instructions use natural language processing techniques to identify salient patterns in the audio data.
15. A system for automatically capturing information from audio data and computer operating context, comprising: a computer system; an activity detection module; a speech recognition module; and a note-taking application, wherein the system uses machine learning algorithms to detect starting conditions for data extraction and identify salient patterns in the audio data.

**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启动条件，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的模式。该系统将提取的文本和显著的模式提供给笔记应用程序，该应用程序允许用户交互式地编辑一个电子文档，该文档包含提取的信息。为了生成专利权利要求，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、并且与专利草案一致。

**Claims**:
1. 一种计算机系统，包括活动检测模块、语音识别模块、模式检测模块和笔记应用程序，用于捕获信息，例如对话和会议，其中活动检测模块检测数据提取的启动条件，语音识别模块识别显著的模式，模式检测模块提取文本和显著的模式，并提供给笔记应用程序，允许用户交互式地编辑一个电子文档，包含提取的信息。因此，权利要求应该涵盖以下方面：活动检测模块、语音识别模块、模式检测模块和笔记应用程序。权利要求应该清晰、简洁，并与专利草案一致。

**Claims**:
1. 一种计算机系统，包括：
a. 活动检测模块，用于检测数据提取的启动条件；
b. 语音识别模块，用于识别显著的模式；
c. 模式检测模块，用于提取文本和显著的模式；
d. 笔记应用程序，用于交互式地编辑一个电子文档，包含提取的信息。
2. 一种方法，包括：
a. 检测数据提取的启动条件，使用活动检测模块；
b. 识别显著的模式，使用语音识别模块和模式检测模块；
c. 提取文本和显著的模式，使用模式检测模块；
d. 交互式地编辑一个电子文档，包含提取的信息，使用笔记应用程序。
3. 一种计算机可读存储介质，包含一组指令，用于执行权利要求1或2所述的方法。
4. 一种笔记应用程序，用于交互式地编辑一个电子文档，包含提取的信息，其中包括：
a. 接收来自活动检测模块的数据提取的启动条件；
b. 接收来自语音识别模块的显著的模式；
c. 接收来自模式检测模块的文本和显著的模式；
d. 允许用户交互式地编辑一个电子文档，包含提取的信息。
5. 一种方法，用于捕获信息，例如对话和会议，其中包括：
a. 检测数据提取的启动条件，使用活动检测模块；
b. 识别显著的模式，使用语音识别模块和模式检测模块；
c. 提取文本和显著的模式，使用模式检测模块；
d. 交互式地编辑一个电子文档，包含提取的信息，使用笔记应用程序。
6. 一种计算机系统，包括：
a. 活动检测模块，用于检测数据提取的启动条件；
b. 语音识别模块，用于识别显著的模式；
c. 模式检测模块，用于提取文本和显著的模式；
d. 笔记应用程序，用于交互式地编辑一个电子文档，包含提取的信息。
7. 一种专利权利要求，包括：
a. 计算机系统，用于捕获信息，例如对话和会议；
b. 活动检测模块，用于检测数据提取的启动条件；
c. 语音识别模块，用于识别显著的模式；
d. 模式检测模块，用于提取文本和显著的模式。
8. 一种方法，用于执行专利权利要求1或2所述的方法，其中包括：
a. 检测数据提取的启动条件，使用活动检测模块；
b. 识别显著的模式，使用语音识别模块和模式检测模块；
c. 提取文本和显著的模式，使用模式检测模块；
d. 交互式地编辑一个电子文档，包含提取的信息，使用笔记应用程序。
9. 一种计算机可读存储介质，包含一组指令，用于执行权利要求1或2所述的方法。
10. 一种笔记应用程序，用于交互式地编辑一个电子文档，包含提取的信息，其中包括：
a. 接收来自活动检测模块的数据提取的启动条件；
b. 接收来自语音识别模块的显著的模式；
c. 接收来自模式检测模块的文本和显著的模式；
d. 允许用户交互式地编辑一个电子文档，包含提取的信息。

Продолжение поставки было бы хоть в воздухе, но без проблем, воздушный путь. Итак, чтобы узнать цену, воздушный путь,
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輪胎正常，但是與照片不符
照片上有四個花紋，但是實際上只有三個

很好的轮胎，软的橡胶質量超级，非常滿意，谢谢卖家，只是打包的时候最好用塑料袋包一下

?????

一切都很好

軟質靜音輪胎