轮胎评价 Ikon Nordman SX3. 页面 22 836
- 商品在莫萨夫托什娜购买
- 评分
**Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings, and 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, allowing users to interactively edit the extracted information, the key technical features include the activity detection module, speech recognition module, pattern detection module, and the notetaking application, the claims should be directed to these key technical features.
**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing extracted information.
2. The computer system of claim 1, wherein the activity detection module detects starting conditions based on voice commands or other audio data, and the speech recognition module processes the audio data to identify key phrases or other relevant information, and the pattern detection module identifies salient patterns, such as keywords or other relevant information, the notetaking application allows users to interactively edit the extracted information, such as text or other relevant data.
3. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions using an activity detection module; processing audio data using a speech recognition module; identifying salient patterns using a pattern detection module; and providing the extracted text and salient patterns to a notetaking application for interactive editing.
4. The method of claim 3, wherein the activity detection module detects starting conditions based on voice commands or other audio data, and the speech recognition module processes audio data to identify key phrases or other relevant information, and the pattern detection module identifies salient patterns, such as keywords or other relevant information, the notetaking application allows users to interactively edit the extracted information, such as text or other relevant data.
5. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, comprising instructions for detecting starting conditions; instructions for processing audio data; instructions for identifying salient patterns; and instructions for providing the extracted text and salient patterns to a notetaking application.
6. The computer-readable medium of claim 5, wherein the instructions for detecting starting conditions are based on voice commands or other audio data, and the instructions for processing audio data identify key phrases or other relevant information, and the instructions for identifying salient patterns identify keywords or other relevant information.
7. A system for automatically capturing information from audio data and computer operating context, comprising: a means for detecting starting conditions; a means for processing audio data; a means for identifying salient patterns; and a means for providing the extracted text and salient patterns to a notetaking application.
8. The system of claim 7, wherein the means for detecting starting conditions detects voice commands or other audio data, and the means for processing audio data identifies key phrases or other relevant information, and the means for identifying salient patterns identifies keywords or other relevant information.
9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and providing the extracted text and salient patterns to a notetaking application.
10. The method of claim 9, wherein detecting starting conditions is based on voice commands or other audio data, and processing audio data identifies key phrases or other relevant information, and identifying salient patterns identifies keywords or other relevant information.
11. A computer 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.
12. The computer system of claim 11, wherein the activity detection module detects starting conditions based on voice commands or other audio data, and the speech recognition module processes audio data to identify key phrases or other relevant information, and the pattern detection module identifies salient patterns, such as keywords or other relevant information.
13. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, comprising instructions for detecting starting conditions; instructions for processing audio data; instructions for identifying salient patterns; and instructions for providing the extracted text and salient patterns to a notetaking application.
14. The computer-readable medium of claim 13, wherein the instructions for detecting starting conditions are based on voice commands or other audio data, and the instructions for processing audio data identify key phrases or other relevant information, and the instructions for identifying salient patterns identify keywords or other relevant information.
15. A system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for providing the extracted text and salient patterns to a notetaking application.
16. The system of claim 15, wherein the means for detecting starting conditions detects voice commands or other audio data, and the means for processing audio data identifies key phrases or other relevant information, and the means for identifying salient patterns identifies keywords or other relevant information.
17. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and providing the extracted text and salient patterns to a notetaking application.
18. The method of claim 17, wherein detecting starting conditions is based on voice commands or other audio data, and processing audio data identifies key phrases or other relevant information, and identifying salient patterns identifies keywords or other relevant information.
19. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing extracted information.
20. The computer system of claim 19, wherein the activity detection module detects starting conditions based on voice commands or other audio data, and the speech recognition module processes audio data to identify key phrases or other relevant information, and the pattern detection module identifies salient patterns, such as keywords or other relevant information.
21. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, comprising instructions for detecting starting conditions; instructions for processing audio data; instructions for identifying salient patterns; and instructions for providing the extracted text and salient patterns to a notetaking application.
22. The computer-readable medium of claim 21, wherein the instructions for detecting starting conditions are based on voice commands or other audio data, and the instructions for processing audio data identify key phrases or other relevant information, and the instructions for identifying salient patterns identify keywords or other relevant information.
23. A system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for providing the extracted text and salient patterns to a notetaking application.
24. The system of claim 23, wherein the means for detecting starting conditions detects voice commands or other audio data, and the means for processing audio data identifies key phrases or other relevant information, and the means for identifying salient patterns identifies keywords or other relevant information.
25. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and providing the extracted text and salient patterns to a notetaking application.
26. The method of claim 25, wherein detecting starting conditions is based on voice commands or other audio data, and processing audio data identifies key phrases or other relevant information, and identifying salient patterns identifies keywords or other relevant information.
27. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing extracted information.
28. The computer system of claim 27, wherein the activity detection module detects starting conditions based on voice commands or other audio data, and the speech recognition module processes audio data to identify key phrases or other relevant information, and the pattern detection module identifies salient patterns, such as keywords or other relevant information.
29. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, comprising instructions for detecting starting conditions; instructions for processing audio data; instructions for identifying salient patterns; and instructions for providing the extracted text and salient patterns to a notetaking application.
30. The computer-readable medium of claim 29, wherein the instructions for detecting starting conditions are based on voice commands or other audio data, and the instructions for processing audio data identify key phrases or other relevant information, and the instructions for identifying salient patterns identify keywords or other relevant information.
31. A system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for providing the extracted text and salient patterns to a notetaking application, wherein the means for detecting starting conditions detects voice commands or other audio data, and the means for processing audio data identifies key phrases or other relevant information, and the means for identifying salient patterns identifies keywords or other relevant information.
32. The system of claim 31, wherein the means for detecting starting conditions detects voice commands or other audio data, and the means for processing audio data identifies key phrases or other relevant information, and the means for identifying salient patterns identifies keywords or other relevant information, and the means for providing the extracted text and salient patterns to a notetaking application allows users to interactively edit the extracted information.
33. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein detecting starting conditions is based on voice commands or other audio data, and processing audio data identifies key phrases or other relevant information, and identifying salient patterns identifies keywords or other relevant information.
34. The method of claim 33, wherein detecting starting conditions is based on voice commands or other audio data, and processing audio data identifies key phrases or other relevant information, and identifying salient patterns identifies keywords or other relevant information, and providing the extracted text and salient patterns to a notetaking application allows users to interactively edit the extracted information.
35. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing extracted information, wherein the activity detection module detects starting conditions based on voice commands or other audio data.
36. The computer system of claim 35, wherein the activity detection module detects starting conditions based on voice commands or other audio data, and the speech recognition module processes audio data to identify key phrases or other relevant information, and the pattern detection module identifies salient patterns, such as keywords or other relevant information.
37. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, comprising instructions for detecting starting conditions; instructions for processing audio data; instructions for identifying salient patterns; and instructions for providing the extracted text and salient patterns to a notetaking application.
38. The computer-readable medium of claim 37, wherein the instructions for detecting starting conditions are based on voice commands or other audio data, and the instructions for processing audio data identify key phrases or other relevant information, and the instructions for identifying salient patterns identify keywords or other relevant information.
39. A system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for providing the extracted text and salient patterns to a notetaking application.
40. The system of claim 39, wherein the means for detecting starting conditions detects voice commands or other audio data, and the means for processing audio data identifies key phrases or other relevant information, and the means for identifying salient patterns identifies keywords or other relevant information.
41. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and providing the extracted text and salient patterns to a notetaking application.
42. The method of claim 41, wherein detecting starting conditions is based on voice commands or other audio data, and processing audio data identifies key phrases or other relevant information, and identifying salient patterns identifies keywords or other relevant information, and providing the extracted text and salient patterns to a notetaking application allows users to interactively edit the extracted information.
43. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing extracted information.
44. The computer system of claim 43, wherein the activity detection module detects starting conditions based on voice commands or other audio data, and the speech recognition module processes audio data to identify key phrases or other relevant information, and the pattern detection module identifies salient patterns, such as keywords or other relevant information.
45. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, comprising instructions for detecting starting conditions; instructions for processing audio data; instructions for identifying salient patterns; and instructions for providing the extracted text and salient patterns to a notetaking application.
46. The computer-readable medium of claim 45, wherein the instructions for detecting starting conditions are based on voice commands or other audio data, and the instructions for processing audio data identify key phrases or other relevant information, and the instructions for identifying salient patterns identify keywords or other relevant information.
47. A system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for providing the extracted text and salient patterns to a notetaking application.
48. The system of claim 47, wherein the means for detecting starting conditions detects voice commands or other audio data, and the means for processing audio data identifies key phrases or other relevant information, and the means for identifying salient patterns identifies keywords or other relevant information.
49. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein detecting starting conditions is based on voice commands or other audio data.
50. The method of claim 49, wherein detecting starting conditions is based on voice commands or other audio data, and processing audio data identifies key phrases or other relevant information, and identifying salient patterns identifies keywords or other relevant information.
Claim 1: A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing extracted information.
Claim 2: The computer system of claim 1, wherein the activity detection module detects starting conditions based on voice commands or other audio data, and the speech recognition module processes audio data to identify key phrases or other relevant information, and the pattern detection module identifies salient patterns, such as keywords or other relevant information.
Claim 3: A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions; processing audio data; identifying salient patterns; and providing the extracted text and salient patterns to a notetaking application.
Claim 4: The method of claim 3, wherein detecting starting conditions is based on voice commands or other audio data, and processing audio data identifies key phrases or other relevant information, and identifying salient patterns identifies keywords or other relevant information.
Claim 5: A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, comprising instructions for detecting starting conditions; instructions for processing audio data; instructions for identifying salient patterns; and instructions for providing the extracted text and salient patterns to a notetaking application.
Claim 6: The computer-readable medium of claim 5, wherein the instructions for detecting starting conditions are based on voice commands or other audio data, and the instructions for processing audio data identify key phrases or other relevant information, and the instructions for identifying salient patterns identify keywords or other relevant information.
Claim 7: A system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions; means for processing audio data; means for identifying salient patterns; and means for providing the extracted text and salient patterns to a notetaking application.
Claim 8: The system of claim 7, wherein the means for detecting starting conditions detects voice commands or other audio data, and the means for processing audio data identifies key phrases or other relevant information, and the means for identifying salient patterns identifies keywords or other relevant information.- 尺寸:
- 195/55 R15 89H XL
- 评分
- 商品在莫萨夫托什娜购买
- 评分
谢谢卖家,轮胎很好???? 推荐。
- 尺寸:
- 175/65 R14 82T
- 评分
- 商品在莫萨夫托什娜购买
- 评分
一切都很棒,谢谢!)
- 尺寸:
- 165/65 R14 79T
- 评分
- 商品在莫萨夫托什娜购买
- 评分
這款輪胎性價比不錯,但對於水漂很敏感。
- 车辆:
- Audi A4 Allroad
- 尺寸:
- 205/55 R16 91H
- 是否会再次购买?:
- 不太可能
- 城市:
- Кандалакша
- 干燥道路操控
- 湿润道路操控
- 行驶舒适度
- 直线行驶稳定性
- 行驶中的低噪音水平
- 制动效能
- 抗水漂能力
- 速度特性
- 耐磨性
- 制造质量
- 性价比
- 商品在莫萨夫托什娜购买
- 评分
非常好,很柔软👍👍
- 尺寸:
- 175/70 R13 82T
- 评分
- 商品在莫萨夫托什娜购买
- 评分
這個價格的輪胎還不錯。
- 尺寸:
- 195/55 R15 89H XL
- 评分
- 商品在莫萨夫托什娜购买
- 评分
優質輪胎
- 尺寸:
- 205/65 R15 94H
- 评分
- 商品在莫萨夫托什娜购买
- 商品在莫萨夫托什娜购买
- 商品在莫萨夫托什娜购买
- 评分
非常好的轮胎,不会发出噪音,在雨天表现非常出色。最重要的是,它们的制动性能非常好,即使在炎热的天气下也能保持良好的效果,我住在克拉斯诺达尔!
- 车辆:
- Renault Symbol
- 尺寸:
- 185/60 R14 82T
- 是否会再次购买?:
- 很可能
- 城市:
- 克拉斯诺达尔
- 干燥道路操控
- 湿润道路操控
- 行驶舒适度
- 直线行驶稳定性
- 行驶中的低噪音水平
- 制动效能
- 抗水漂能力
- 速度特性
- 耐磨性
- 制造质量
- 性价比


