轮胎评价 Nexen N'Blue HD Plus. Страница 42 1339
Есть что рассказать о шине Nexen N'Blue HD Plus?
Написать отзыв- 商品在莫萨夫托什娜购买
- 评分
很好,适中的软硬度,不会特别嘈杂,很满意。
- 车辆:
- Hyundai Solaris
- 尺寸:
- 195/55 R16 87V
- 是否会再次购买?:
- 很可能
- 城市:
- 阿尔汉格尔斯克
- 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
- 评分
這款輪胎在價格和品質的比例上已經100%證明了自己的價值。
- 车辆:
- Kia Ceed
- 是否会再次购买?:
- 肯定会
- 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
一切都好。
- 车辆:
- Chery QQ6
- 尺寸:
- 175/60 R14 79H
- 是否会再次购买?:
- 肯定会
- 城市:
- 罗斯托夫-纳-顿
- 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
不錯的輪胎,這已經是我第二次購買了,之前的輪胎使用了3.5個季節,考慮到我每年行駛35萬公里,還是蠻划算的
- 车辆:
- Kia Cee'd
- 尺寸:
- 205/55 R16 91H
- 是否会再次购买?:
- 很可能
- 城市:
- 莫斯科
- 干燥道路操控
- 湿润道路操控
- 直线行驶稳定性
- 行驶舒适度
- 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
超级,不输给更贵的品牌。
- 车辆:
- Kia K5
- 尺寸:
- 215/55 R17 94V
- 是否会再次购买?:
- 肯定会
- 城市:
- 莫斯科
- 干燥道路操控
- 湿润道路操控
- 直线行驶稳定性
- 行驶舒适度
- 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
非常好的橡胶,我推荐
- 车辆:
- Volkswagen Polo
- 尺寸:
- 195/55 R15 85V
- 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
- 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. 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 provide the extracted text and salient patterns to a user.2. 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 note-taking application.
3. A computer-implemented method for capturing information from audio data, comprising: receiving audio data from a computer operating context; processing the audio data to identify salient patterns; and providing the extracted text and salient patterns to a user.
4. 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; and means for providing the extracted text and salient patterns to a note-taking application.
5. A computer system for capturing information from conversations and meetings, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; and a note-taking application to provide the extracted information to a user.
6. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition; and providing the extracted text and salient patterns to a note-taking application.
7. A computer system for capturing information from audio data, comprising: means for detecting starting conditions; means for processing the audio data; and means for providing the extracted text and salient patterns to a user.
8. A system for automatically capturing information from conversations, comprising: an activity detection module; a speech recognition module; and a note-taking application to provide the extracted information to a user.
9. A method for capturing information from audio data, comprising: receiving audio data; processing the audio data using speech recognition; and providing the extracted text and salient patterns to a note-taking application.
10. A computer system for automatically capturing information from audio data, comprising: means for detecting starting conditions; means for processing the audio data; and means for providing the extracted text and salient patterns to a user.
11. A system for capturing information from conversations and meetings, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; and a note-taking application to provide the extracted information to a user.
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; and providing the extracted text and salient patterns to a note-taking application.
13. A computer system for capturing information from audio data, comprising: means for detecting starting conditions; means for processing the audio data using speech recognition; and means for providing the extracted text and salient patterns to a user.
14. A system for automatically capturing information from conversations, comprising: an activity detection module; a speech recognition module; and a note-taking application to provide the extracted information to a user.
15. A method for capturing information from audio data, comprising: receiving audio data from a computer operating context; processing the audio data using speech recognition and pattern detection; and providing the extracted text and salient patterns to a note-taking 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 note-taking 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.
3. The system of claim 1, wherein the speech recognition module uses deep learning techniques to process the audio data.
4. The system of claim 1, wherein the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
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 speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
6. The method of claim 5, wherein the activity detection module uses natural language processing to detect starting conditions.
7. The method of claim 5, wherein the speech recognition module uses acoustic modeling to process the audio data.
8. The method of claim 5, wherein the note-taking application provides the extracted information to a user in a readable format.
9. A computer system for capturing information from conversations and meetings, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; and a note-taking application to provide the extracted information to a user.
10. The system of claim 9, wherein the activity detection module uses machine learning algorithms to detect starting conditions.
11. The system of claim 9, wherein the speech recognition module uses deep learning techniques to process the audio data.
12. The system of claim 9, wherein the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
13. A method for capturing information from audio data, comprising: receiving audio data from a computer operating context; processing the audio data using speech recognition and pattern detection; and providing the extracted text and salient patterns to a note-taking application.
14. The method of claim 13, wherein the speech recognition module uses acoustic modeling to process the audio data.
15. The method of claim 13, wherein the note-taking application provides the extracted information to a user in a readable format.
- 车辆:
- Mini Cooper
- 尺寸:
- 175/65 R15 84H
- 是否会再次购买?:
- 很可能
- 城市:
- 莫斯科
- 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
非常好的轮胎!价格,质量。
- 车辆:
- Renault Logan
- 尺寸:
- 185/60 R14 82T
- 是否会再次购买?:
- 肯定会
- 城市:
- 莫斯科
- 干燥道路操控
- 湿润道路操控
- 直线行驶稳定性
- 行驶舒适度
- 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
- 评分
优秀的轮胎
- 车辆:
- Daewoo Matiz
- 是否会再次购买?:
- 肯定会
- 干燥道路操控
- 湿润道路操控
- 直线行驶稳定性
- 行驶舒适度
- 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
對輪胎很滿意。
所有參數都符合要求。- 车辆:
- Skoda Fabia
- 尺寸:
- 175/65 R14 82T
- 是否会再次购买?:
- 很可能
- 城市:
- 莫斯科
- 干燥道路操控
- 湿润道路操控
- 直线行驶稳定性
- 行驶舒适度
- 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