轮胎评价 Sailun Terramax M/T. Страница 2 52

不错的輪胎，沒想到我還蠻喜歡烏阿茲的呢）

購買了469 УАЗ的越野輪胎，據說在越野中表現很好，這也是它的主要用途。對於這個價格，很好 ??

好的轮胎，我很喜欢。

超级

非常好的轮胎，不吵闹

很好的轮胎，不会发出噪音，通过沙地测试也很成功，谢谢！

商品很好，推荐卖家

**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 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 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 activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the 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 notetaking application.

4. The method of claim 3, wherein the speech recognition module uses natural language processing algorithms to process the audio data and identify salient patterns.

5. A computer-implemented method for 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.

6. The method of claim 5, wherein the pattern detection module uses 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: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application.

8. The system of claim 7, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context.

9. A computer system for capturing information from audio data and computer operating context, 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 notetaking application.

10. The system of claim 9, wherein the speech recognition module uses natural language processing algorithms to process the audio data and identify salient patterns.

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 notetaking application.

12. The method of claim 11, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data.

13. A computer-implemented method for 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.

14. The method of claim 13, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context.

15. A system for automatically 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.

**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.
2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the 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 notetaking application.
4. The method of claim 3, wherein the speech recognition module uses natural language processing algorithms to process the audio data and identify salient patterns.
5. A computer-implemented method for 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.
6. The method of claim 5, wherein the pattern detection module uses 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: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
8. The system of claim 7, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context.
9. A computer system for capturing information from audio data and computer operating context, 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 notetaking application.
10. The system of claim 9, wherein the speech recognition module uses natural language processing algorithms to process the audio data and identify salient patterns.
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 notetaking application.
12. The method of claim 11, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data.
13. A computer-implemented method for 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.
14. The method of claim 13, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context.
15. A system for automatically 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.

超级

非常好的轮胎。