Tyre reviews Continental ContiPremiumContact 5. Страница 4 634

**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 patterns to a user.
2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions.
3. 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 patterns to a notetaking application.
4. The method of claim 3, wherein the speech recognition module uses natural language processing to identify salient patterns in the audio data.
5. A computer-implemented method for capturing information from audio data, comprising: receiving audio data from a conversation or meeting; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and patterns to a notetaking application.
6. The method of claim 5, wherein the pattern detection module uses machine learning algorithms to identify keywords and phrases in the audio data.
7. A system for automatically capturing information from audio data, 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 patterns to a user.
8. The system of claim 7, wherein the activity detection module uses contextual information to detect starting conditions for data extraction.
9. 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 patterns to a notetaking application.
10. The method of claim 9, wherein the speech recognition module uses acoustic features to identify salient patterns in the audio data.
11. A computer system for capturing information from audio data, comprising: a speech recognition module to process the audio data and identify salient patterns; an activity detection module to detect starting conditions for data extraction; and a notetaking application to provide the extracted text and patterns to a user.
12. The system of claim 11, wherein the notetaking application uses a graphical user interface to display the extracted text and patterns.
13. A method for automatically capturing information from audio data, comprising: processing the audio data using speech recognition and pattern detection modules; detecting starting conditions for data extraction using an activity detection module; and providing the extracted text and patterns to a notetaking application.
14. The method of claim 13, wherein the pattern detection module uses clustering algorithms to identify salient patterns in the audio data.
15. A system for automatically capturing information from audio data, 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 patterns to a user, wherein the system uses a cloud-based infrastructure to store and process 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 and identify salient patterns; and a notetaking application to provide the extracted text and 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.
3. 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 patterns to a notetaking application.
4. The method of claim 3, wherein the speech recognition module uses natural language processing to identify salient patterns in the audio data.
5. A computer-implemented method for capturing information from audio data, comprising: receiving audio data from a conversation or meeting; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and patterns to a notetaking application.
6. The method of claim 5, wherein the pattern detection module uses clustering algorithms to identify keywords and phrases in the audio data.
7. A system for automatically capturing information from audio data, 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 patterns to a user.
8. The system of claim 7, wherein the activity detection module uses contextual information to detect starting conditions for data extraction.
9. 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 patterns to a notetaking application.
10. The method of claim 9, wherein the speech recognition module uses acoustic features to identify salient patterns in the audio data.
11. A computer system for capturing information from audio data, comprising: a speech recognition module to process the audio data and identify salient patterns; an activity detection module to detect starting conditions for data extraction; and a notetaking application to provide the extracted text and patterns to a user.
12. The system of claim 11, wherein the notetaking application uses a graphical user interface to display the extracted text and patterns.
13. A method for automatically capturing information from audio data, comprising: processing the audio data using speech recognition and pattern detection modules; detecting starting conditions for data extraction using an activity detection module; and providing the extracted text and patterns to a notetaking application.
14. The method of claim 13, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data.
15. A system for automatically capturing information from audio data, 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 patterns to a user, wherein the system uses a cloud-based infrastructure to store and process the audio data.

This is already the second vehicle on which the tires come from the factory. Excellent. Very good. If not for one but... On the third season, it becomes stiff, the noise on the highway is stressful. On uneven roads, it shakes incredibly. I want to check the suspension. Reducing the pressure does not help. Previously, it was on a Peugeot 308, now on a Duster. The cars are completely different, but the properties of the tires are the same. I recommend it only for a couple of years.

In all respects, a good tire. I was looking for a more or less soft tire. This one met all my expectations. It's very comfortable to drive. During the entire operation on different joints and railings, it didn't get damaged, at a reasonable speed, of course. The only thing I didn't like was the rapid wear. For such a price, it's too short a pleasure.

Excellent tire for asphalt. Grip on both wet and dry roads is excellent. For handling, traction, and braking, it's five stars, but for durability, only three, because the tread really wears out quickly with aggressive driving. On dirt roads in the rain, it's difficult, and if clay gets on the tire, it's useless. On good, even asphalt, it's perfect, no complaints. After 38,000 km, it's worn out, with 1 mm of tread left.

I bought them when the prices were reasonable. Handling on slippery and dry surfaces is excellent. It handles puddles (aquaplaning) very well. I've driven on them for two seasons. Noise level increases with wear. Excellent tires

Soft road comfort. If the gravel is not sharp, it's also good, but on sharp rocks it's easy to tear/puncture.

Continental ContiPremiumContact 5 225/65 R17 102V, very soft tire, no noise, tested on both the track and in city conditions. My rating 5.

Size 205/55 R16. Excellent tire. Recommend for purchase. Unfortunately, such a size is not available for sale, apparently they only supply to AvtoVAZ. The dealer performed a warranty repair on the vehicle, which took 16 days, when coming home, within 300 km of the dealer, I found out that one of the wheels had been replaced, the tire was severely worn, apparently there was a malfunction of the wheels removal, the disc was machined with heating,

Having read all the rave reviews about these tires I decided to put my own 5 cents in. The tires were bought in a stock with a car from a Russian salon. They withstood 3 seasons. The tyres are tolerable. However, they are not at all soft and quiet. They keep the road normally, and also tolerably in puddles. But it's just TOLERABLE! There's nothing in them that would make me exclaim. They somewhat remind me of AMTEL

Excellent tire. Good traction, on high-speed turns by 4, high profile. Swallows unevenness on impact. Difficult to scuff against the curb and scratch the disc. Pretty quiet and soft tire. Price-quality on 5.