轮胎评价 Cordiant Snow Cross. 页面 245 13625

超级轮胎

货物及时送到，没有任何问题，轮胎质量很好，谢谢

非常好的轮胎，整套????

一切都很好，冬天会更好
或者
一切都很好，冬天我们会去试验

商品及时到货，质量很好，我们看看冬天使用效果如何
目前一切都令人满意

优秀的轮胎

一切都很好，按时完成。轮胎是24年的款。谢谢卖家，大家可以放心下单

輪胎很快就到了，24年20周的四個輪胎都已經安裝好了。我推薦這個賣家

及时送到，平衡得很好，我们希望再买这样的夏季轮胎。

**Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings, utilizing an activity detection module, speech recognition, and pattern detection to identify relevant information, and provides the extracted text and patterns to a notetaking application for further processing and editing.

**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; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted information.
2. The system of claim 1, where the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
3. The system of claim 1, where the speech recognition module uses natural language processing to transcribe the audio data into text, and the pattern detection module uses the transcribed text to identify relevant information, such as keywords, phrases, and intent.
4. The system of claim 1, where the notetaking application provides a user interface for users to review, edit, and organize the extracted information.
5. 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 information to a notetaking application for further processing and editing.
6. The method of claim 5, where the activity detection module uses a combination of machine learning algorithms and natural language processing to detect starting conditions and extract relevant information from audio data and computer operating context.
7. A computer-implemented method for capturing information from audio data, comprising: receiving audio data; detecting starting conditions using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted information to a notetaking application.
8. The method of claim 7, where the speech recognition module uses deep learning algorithms to improve the accuracy of the transcribed text.
9. A system for automatically capturing information from audio data, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, where the system provides a user interface for users to review and edit the extracted information.
10. The system of claim 9, where the pattern detection module uses machine learning algorithms to identify keywords, phrases, and intent from the audio data.
11. A computer system for capturing information from audio data, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for providing the extracted information to a notetaking application.
12. The system of claim 11, where the means for detecting starting conditions uses a combination of machine learning algorithms and natural language processing.
13. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and providing the extracted information to a notetaking application, where the method improves the accuracy of the extracted information.
14. The method of claim 13, where the detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
15. A computer-implemented system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, where the system provides a user interface for users to review and edit the extracted information.
16. The system of claim 15, where the speech recognition module uses natural language processing to transcribe the audio data into text.
17. A method for automatically capturing information from audio data, comprising: receiving audio data; detecting starting conditions; processing the audio data; identifying salient patterns; and providing the extracted information to a notetaking application.
18. The method of claim 17, where the identifying salient patterns uses a machine learning algorithm to extract relevant information from the audio data.
19. A computer system for capturing information from audio data, comprising: means for receiving audio data; means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for providing the extracted information to a notetaking application.
20. The system of claim 19, where the means for detecting starting conditions uses a combination of machine learning algorithms and natural language processing.

**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; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted information.
2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
3. The system of claim 1, wherein the speech recognition module uses natural language processing to transcribe the audio data into text.
4. The system of claim 1, wherein the pattern detection module uses machine learning algorithms to identify keywords, phrases, and intent from the transcribed text.
5. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module; identifying salient patterns using a pattern detection module; and providing the extracted information to a notetaking application.
6. The method of claim 5, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing to detect starting conditions.
7. The method of claim 5, wherein the speech recognition module uses deep learning algorithms to improve the accuracy of the transcribed text.
8. A computer-implemented system for capturing information from audio data, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for providing the extracted information to a notetaking application.
9. The system of claim 8, wherein the means for detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
10. The system of claim 8, wherein the means for identifying salient patterns uses a machine learning algorithm to extract relevant information from the audio data.
11. A method for automatically capturing information from audio data, comprising: receiving audio data; detecting starting conditions; processing the audio data; identifying salient patterns; and providing the extracted information to a notetaking application.
12. The method of claim 11, wherein the detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
13. A computer system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, where the system provides a user interface for users to review and edit the extracted information.
14. The system of claim 13, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing to detect starting conditions.
15. The system of claim 13, wherein the speech recognition module uses natural language processing to transcribe the audio data into text.
16. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and providing the extracted information to a notetaking application.
17. The method of claim 16, wherein the identifying salient patterns uses a machine learning algorithm to extract relevant information from the audio data.
18. A computer-implemented system for capturing information from audio data, comprising: means for receiving audio data; means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for providing the extracted information to a notetaking application.
19. The system of claim 18, wherein the means for detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
20. The system of claim 18, wherein the means for identifying salient patterns uses a machine learning algorithm to extract relevant information from 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; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted information.
2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
3. The system of claim 1, wherein the speech recognition module uses natural language processing to transcribe the audio data into text.
4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module; identifying salient patterns using a pattern detection module; and providing the extracted information to a notetaking application.
5. The method of claim 4, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing to detect starting conditions.
6. A computer-implemented system for capturing information from audio data, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for providing the extracted information to a notetaking application.
7. The system of claim 6, wherein the means for detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
8. A method for automatically capturing information from audio data, comprising: receiving audio data; detecting starting conditions; processing the audio data; identifying salient patterns; and providing the extracted information to a notetaking application.
9. The method of claim 8, wherein the detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
10. A computer system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, where the system provides a user interface for users to review and edit the extracted information.
11. The system of claim 10, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing to detect starting conditions.
12. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and providing the extracted information to a notetaking application.
13. The method of claim 12, wherein the identifying salient patterns uses a machine learning algorithm to extract relevant information from the audio data.
14. A computer-implemented system for capturing information from audio data, comprising: means for receiving audio data; means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for providing the extracted information to a notetaking application.
15. The system of claim 14, wherein the means for detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
16. A method for automatically capturing information from audio data, comprising: receiving audio data; detecting starting conditions; processing the audio data; identifying salient patterns; and providing the extracted information to a notetaking application.
17. The method of claim 16, wherein the detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
18. A computer system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, where the system provides a user interface for users to review and edit the extracted information.
19. The system of claim 18, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing to detect starting conditions.
20. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and providing the extracted information to 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; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted information.
2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
3. The system of claim 1, wherein the speech recognition module uses natural language processing to transcribe the audio data into text.
4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module; identifying salient patterns using a pattern detection module; and providing the extracted information to a notetaking application.
5. The method of claim 4, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing to detect starting conditions.
6. A computer-implemented system for capturing information from audio data, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for providing the extracted information to a notetaking application.
7. The system of claim 6, wherein the means for detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
8. A method for automatically capturing information from audio data, comprising: receiving audio data; detecting starting conditions; processing the audio data; identifying salient patterns; and providing the extracted information to a notetaking application.
9. The method of claim 8, wherein the detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
10. A computer system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, where the system provides a user interface for users to review and edit the extracted information.
11. The system of claim 10, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing to detect starting conditions.
12. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and providing the extracted information to a notetaking application.
13. The method of claim 12, wherein the identifying salient patterns uses a machine learning algorithm to extract relevant information from the audio data.
14. A computer-implemented system for capturing information from audio data, comprising: means for receiving audio data; means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for providing the extracted information to a notetaking application.
15. The system of claim 14, wherein the means for detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
16. A method for automatically capturing information from audio data, comprising: receiving audio data; detecting starting conditions; processing the audio data; identifying salient patterns; and providing the extracted information to a notetaking application.
17. The method of claim 16, wherein the detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
18. A computer system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, where the system provides a user interface for users to review and edit the extracted information.
19. The system of claim 18, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing to detect starting conditions.
20. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and providing the extracted information to 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; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted information.
2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
3. The system of claim 1, wherein the speech recognition module uses natural language processing to transcribe the audio data into text.
4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module; identifying salient patterns using a pattern detection module; and providing the extracted information to a notetaking application.
5. The method of claim 4, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing to detect starting conditions.
6. A computer-implemented system for capturing information from audio data, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for providing the extracted information to a notetaking application.
7. The system of claim 6, wherein the means for detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
8. A method for automatically capturing information from audio data, comprising: receiving audio data; detecting starting conditions; processing the audio data; identifying salient patterns; and providing the extracted information to a notetaking application.
9. The method of claim 8, wherein the detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
10. A computer system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, where the system provides a user interface for users to review and edit the extracted information.
11. The system of claim 10, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing to detect starting conditions.
12. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and providing the extracted information to a notetaking application.
13. The method of claim 12, wherein the identifying salient patterns uses a machine learning algorithm to extract relevant information from the audio data.
14. A computer-implemented system for capturing information from audio data, comprising: means for receiving audio data; means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for providing the extracted information to a notetaking application.
15. The system of claim 14, wherein the means for detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
16. A method for automatically capturing information from audio data, comprising: receiving audio data; detecting starting conditions; processing the audio data; identifying salient patterns; and providing the extracted information to a notetaking application.
17. The method of claim 16, wherein the detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
18. A computer system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, where the system provides a user interface for users to review and edit the extracted information.
19. The system of claim 18, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing to detect starting conditions.
20. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and providing the extracted information to 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; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted information.
2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
3. The system of claim 1, wherein the speech recognition module uses natural language processing to transcribe the audio data into text.
4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module; identifying salient patterns using a pattern detection module; and providing the extracted information to a notetaking application.
5. The method of claim 4, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing to detect starting conditions.
6. A computer-implemented system for capturing information from audio data, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for providing the extracted information to a notetaking application.
7. The system of claim 6, wherein the means for detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
8. A method for automatically capturing information from audio data, comprising: receiving audio data; detecting starting conditions; processing the audio data; identifying salient patterns; and providing the extracted information to a notetaking application.
9. The method of claim 8, wherein the detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
10. A computer system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, where the system provides a user interface for users to review and edit the extracted information.
11. The system of claim 10, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing to detect starting conditions.
12. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and providing the extracted information to a notetaking application.
13. The method of claim 12, wherein the identifying salient patterns uses a machine learning algorithm to extract relevant information from the audio data.
14. A computer-implemented system for capturing information from audio data, comprising: means for receiving audio data; means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for providing the extracted information to a notetaking application.
15. The system of claim 14, wherein the means for detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
16. A method for automatically capturing information from audio data, comprising: receiving audio data; detecting starting conditions; processing the audio data; identifying salient patterns; and providing the extracted information to a notetaking application.
17. The method of claim 16, wherein the detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
18. A computer system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, where the system provides a user interface for users to review and edit the extracted information.
19. The system of claim 18, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing to detect starting conditions.
20. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and providing the extracted information to 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; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted information.
2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
3. The system of claim 1, wherein the speech recognition module uses natural language processing to transcribe the audio data into text.
4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module; identifying salient patterns using a pattern detection module; and providing the extracted information to a notetaking application.
5. The method of claim 4, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing to detect starting conditions.
6. A computer-implemented system for capturing information from audio data, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for providing the extracted information to a notetaking application.
7. The system of claim 6, wherein the means for detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
8. A method for automatically capturing information from audio data, comprising: receiving audio data; detecting starting conditions; processing the audio data; identifying salient patterns; and providing the extracted information to a notetaking application.
9. The method of claim 8, wherein the detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
10. A computer system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, where the system provides a user interface for users to review and edit the extracted information.
11. The system of claim 10, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing to detect starting conditions.
12. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and providing the extracted information to a notetaking application.
13. The method of claim 12, wherein the identifying salient patterns uses a machine learning algorithm to extract relevant information from the audio data.
14. A computer-implemented system for capturing information from audio data, comprising: means for receiving audio data; means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for providing the extracted information to a notetaking application.
15. The system of claim 14, wherein the means for detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
16. A method for automatically capturing information from audio data, comprising: receiving audio data; detecting starting conditions; processing the audio data; identifying salient patterns; and providing the extracted information to a notetaking application.
17. The method of claim 16, wherein the detecting starting conditions uses a machine learning algorithm to identify relevant information from the audio data.
18. A computer system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, where the system provides a user interface for users to review and edit the extracted information.
19. The system of claim 18, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing to detect starting conditions.
20. A method for automatically capturing information from audio data, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and providing the extracted information to a notetaking application.