Tyre reviews Sailun Atrezzo ZSR 2. Page 7 1589

Hold the trajectory well, do not stray...

They handle well on dry roads, grip is good, and they are not noisy. However, when the asphalt is wet, just wet without rain, it's like something is happening, as soon as you give it a bit of gas, the rear end starts to swing out, like on ice. In heavy rain, there is no aquaplaning.

I purchased these tires to replace the original Giti tires, which I couldn't balance properly (got tired of the steering wheel vibration at speeds over 150). Compared to Giti, the noise level is the same, but in all other aspects, these tires are 1000 times better. They are more comfortable (not in terms of noise), handling is just great, and I haven't experienced aquaplaning even once while driving on highways in the rain. I didn't notice any wear after 6000 km. You can confidently buy them, they are not worse than renowned brands, and they are 3 times cheaper.

Normal tire. Holds the road well. Didn't drive much in the rain. Balanced well. In general, I have no particular complaints about the tire. I bought the tires for 6 thousand per unit. I wanted to take Bridgestones. I think if I had taken Bridgestones for 12 thousand per unit, I wouldn't have seen any difference. So, I join the majority of opinions that there is no point in overpaying for a brand.

Switched to this tire from Michelin Pilot Sport 4 in the same exact size, but in fact, Sailun is a bit "wider". The tire withstood very strong potholes, but gave up when strongly hit by a cut asphalt :( In the best case scenario, only a run flat would have withstood such an impact)

On "dry" roads, the grip is excellent, but when driving "on the limit" (sharp braking, passing turns at high speed), compared to Michelin, I can note a slightly worse grip, which manifested in a slight squeal of the tire. Overall, it's a bit noisier than Michelin.

On "wet" roads, or rather when driving through puddles at high speed, I can note a tendency to aquaplaning. But I think it's a matter of speed, not the tire.

The price decides everything - the price/quality ratio is at the highest level. I also have Sailun winter tires - I had to repair them once, and the tire fitter noted the excellent composition of the rubber.

Tire size R20 245/35
Pros:
1. Thick sidewall cord
2. Wheel protection from rubbing against the curb
3. Resistance to bulging
4. Not bad grip on dry road (better on wet)
5. Wear resistance
6. Adequate price
7. Managed to drive on these tires in the snow and they performed confidently (however, it's worth noting that the trip was immediately after tire replacement, i.e. the tires were new and without mileage)
Cons:
1. Quite loud and hard rubber (resulting in noise), however, this parameter is completely irrelevant to me, since such rubber is more resistant to potholes
Comment on the tires: want more massive protection from rubbing against the curbs

**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 salient patterns to a user interface, wherein the user interface allows 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 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 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 the audio data and computer operating context, and the notetaking application provides an interactive user interface to edit the extracted information.
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 for data extraction; instructions for processing the audio data using speech recognition and pattern detection modules; 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 for data extraction use machine learning algorithms based on the audio data and computer operating context.
7. A system for automatically capturing information from audio data and computer operating context, comprising: a means for detecting starting conditions for data extraction; a means for processing the audio data using speech recognition and pattern detection modules; 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 for data extraction uses an activity detection module to detect starting conditions based on the 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; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
10. The method of claim 9, wherein the detecting starting conditions for data extraction uses machine learning algorithms based on the audio data and computer operating context.
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 notetaking application to provide the extracted text and salient patterns to a user interface.
12. The computer system of claim 11, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context.
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 for data extraction; instructions for processing the audio data using speech recognition and pattern detection modules; 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 for data extraction use machine learning algorithms based on the audio data and computer operating context.
15. A system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing 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 notetaking application to provide the extracted text and salient patterns to a user interface.
2. The computer system of claim 1, wherein the activity detection module detects starting conditions for data extraction based on the 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; 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 detecting starting conditions for data extraction uses machine learning algorithms based on the audio data and computer operating context.
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 for data extraction; instructions for processing the audio data using speech recognition and pattern detection modules; 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 for data extraction use machine learning algorithms based on the audio data and computer operating context.
7. A system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and 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 for data extraction uses an activity detection module to detect starting conditions based on the 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; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
10. The method of claim 9, wherein the detecting starting conditions for data extraction uses machine learning algorithms based on the audio data and computer operating context.
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 notetaking application to provide the extracted text and salient patterns to a user interface.
12. The computer system of claim 11, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context.
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 for data extraction; instructions for processing the audio data using speech recognition and pattern detection modules; 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 for data extraction use machine learning algorithms based on the audio data and computer operating context.
15. A system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions for data extraction; means for processing the audio data using speech recognition and pattern detection modules; and means for providing the extracted text and salient patterns to a notetaking application.

Everything is fine

Excellent tires, pleasantly surprised. They handle both dry and wet roads perfectly, behave adequately in both ruts and puddles, and cope well with X-Drive. After 160 they are very noisy, no other complaints.

Driven 5,000 km, overall impression is positive. But there is a nuance - on one wheel - 70g of balancing weights...