Tyre reviews Doublestar DLA01. Страница 14 661

**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 a pattern detection module to identify salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application, allowing users 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 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 activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversations and meetings, and provides the extracted text and salient patterns to a notetaking application.

5. A computer-implemented method 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 a pattern detection module to identify salient patterns.

6. The method of claim 5, wherein the system uses machine learning algorithms to detect starting conditions for data extraction and provides the extracted text and salient patterns to a notetaking application for interactive editing.

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

8. The system of claim 7, wherein the activity detection module uses natural language processing to detect 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 using a computer-implemented 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 for interactive editing.

10. The method of claim 9, wherein the system uses deep learning algorithms to detect starting conditions for data extraction and provides the extracted text and salient patterns to a notetaking application.

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 a pattern detection module to identify salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.

12. The system of claim 11, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversations and meetings.

13. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using a computer-implemented 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 for interactive editing.

14. The method of claim 13, wherein the system uses machine learning algorithms to detect starting conditions for data extraction and provides the extracted text and salient patterns to a notetaking application.

15. A computer-implemented 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 a pattern detection module to identify salient patterns, wherein the system provides the extracted text and salient patterns 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; and a pattern detection module to identify salient patterns.
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 using a computer-implemented 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 for interactive editing.
4. The method of claim 3, wherein the system uses natural language processing to detect starting conditions for data extraction based on audio data and computer operating context.
5. A computer-implemented method 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 a pattern detection module to identify salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.
6. The method of claim 5, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversations and meetings.
7. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-implemented activity detection module; a speech recognition module; and a pattern detection module, wherein the system provides the extracted text and salient patterns to a notetaking application.
8. The system of claim 7, wherein the activity detection module uses deep learning algorithms to detect starting conditions for data extraction and provides the extracted text and salient patterns to a notetaking application.
9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using a computer-implemented 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 for interactive editing.
10. The method of claim 9, wherein the system uses machine learning algorithms to detect starting conditions for data extraction and provides the extracted text and salient patterns to a notetaking application.
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 a pattern detection module to identify salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.
12. The system of claim 11, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including conversations and meetings.
13. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using a computer-implemented 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 for interactive editing.
14. The method of claim 13, wherein the system uses natural language processing to detect starting conditions for data extraction based on audio data and computer operating context.
15. A computer-implemented 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 a pattern detection module to identify salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.

Super rubber

The tires are satisfactory. The previous owner (Woodpecker) drove on the tread 12/12 months a year, wore it out to a bald state, and to top it off, treated it with a grinder, "Shabby was beautiful" and sprayed an American inscription Haziger from a can, or something like that. In short, I threw away this horror, put on this tire, and the car started driving. HOWEVER! An important point is that this is my first new tire, so the rating is average. I will change to winter tires, compare. And yes, the mileage is absent in comparison with normal car enthusiasts, because the car is more for self-satisfaction than for real use.

+

I'm satisfied with the purchase, the price is a gift. 14 thousand rubles for 4 tires.
Thank you to the seller!

It plows through mud, but drives the car strongly. Otherwise, there are no complaints.

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