Tyre reviews Tracmax X-Privilo TX5. Страница 5 3120

  • Tracmax X-Privilo TX5
    Tracmax X-Privilo TX5

Статистика отзывов на шины Tracmax X-Privilo TX5

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  • Средняя оценка шин Tracmax X-Privilo TX5 пользователями сайта: 4.81933 из 5
  • Количество отзывов на шины Tracmax X-Privilo TX5: 2944 шт.
  • Место в рейтинге: 164
  • Место в рейтинге (летние): 108
Control on a dry road
Steering in the wet
Drive comfort
Quiet in motion
Braking efficiency
Resistant to aquaplaning
Velocity characteristics
Wearability
Quality of production
Price justifiability
Все оценки пользователей
Оценки реальных покупателей

Оценки шин Tracmax X-Privilo TX5 по месяцам

По распределению
оценок

1
1%
2
0%
3
1%
4
7%
5
90%
  • about tyre Tracmax X-Privilo TX5

    The product was purchased at Mosautoshina
    Rate
    5

    Delivery on time. Tread is soft. Quality is good.

    Size:
    205/60 R16 92V
    Rate
  • about tyre Tracmax X-Privilo TX5

    The product was purchased at Mosautoshina
    Rate
    4.4

    **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 important patterns. The system provides the extracted text and patterns to a note-taking application, which allows users to interactively edit a digital document incorporating the extracted information.

    **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 important patterns; and a note-taking application to provide the extracted text and patterns to a digital document.
    2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on the audio data and computer operating context.
    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 note-taking application.
    4. The method of claim 3, wherein the activity detection module detects starting conditions based on the audio data and computer operating context, and the speech recognition module processes the audio data using machine learning algorithms to identify important patterns.
    5. A computer system for automatically capturing information from audio data, comprising: a speech recognition module to process the audio data; a pattern detection module to identify important patterns; and a note-taking application to provide the extracted text and patterns to a digital document.
    6. The system of claim 1, wherein the speech recognition module uses natural language processing to identify important patterns in the audio data, and the pattern detection module uses machine learning algorithms to detect starting conditions for data extraction.
    7. 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 digital document.
    8. The method of claim 7, wherein the activity detection module detects starting conditions based on the audio data and computer operating context, and the speech recognition module processes the audio data using natural language processing to identify important patterns.
    9. A computer 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 a note-taking application to provide the extracted text and patterns to a digital document.
    10. The system of claim 1, wherein the speech recognition module uses machine learning algorithms to identify important patterns in the audio data, and the pattern detection module uses natural language processing to detect starting conditions for data extraction.
    11. 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 note-taking application.
    12. The method of claim 11, wherein the activity detection module detects starting conditions based on the audio data and computer operating context, and the speech recognition module processes the audio data using natural language processing to identify important patterns.
    13. A computer system for automatically capturing information from audio data, comprising: a speech recognition module to process the audio data; a pattern detection module to identify important patterns; and a note-taking application to provide the extracted text and patterns to a digital document.
    14. The system of claim 1, wherein the speech recognition module uses natural language processing to identify important patterns in the audio data, and the pattern detection module uses machine learning algorithms to detect starting conditions for data extraction.
    15. 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 digital document.

    **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 important patterns; and a note-taking application to provide the extracted text and patterns to a digital document.
    2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on the audio data and computer operating context.
    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 note-taking application.
    4. The method of claim 3, wherein the speech recognition module uses natural language processing to identify important patterns in the audio data.
    5. A computer system for automatically capturing information from audio data, comprising: a speech recognition module to process the audio data and identify important patterns; a pattern detection module to detect starting conditions for data extraction; and a note-taking application to provide the extracted text and patterns to a digital document.
    6. The system of claim 1, wherein the pattern detection module uses machine learning algorithms to detect starting conditions for data extraction.
    7. 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 digital document.
    8. The method of claim 7, wherein the activity detection module detects starting conditions based on the audio data and computer operating context.
    9. A computer 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 important patterns; and a note-taking application to provide the extracted text and patterns to a digital document.
    10. The system of claim 1, wherein the speech recognition module uses natural language processing to identify important patterns in the audio data, and the pattern detection module uses machine learning algorithms to detect starting conditions for data extraction.

    Vehicle:
    Skoda Fabia
    Size:
    185/60 R14 82H
    Buy again?:
    Most likely
    City:
    Saint Petersburg
    Control on a dry road
    Steering in the wet
    Course stability
    Drive comfort
    Quiet in motion
    Braking efficiency
    Resistant to aquaplaning
    Velocity characteristics
    Wearability
    Quality of production
    Price justifiability
  • about tyre Tracmax X-Privilo TX5

    Rate
    4.7

    Overall, fairly good tires.

    Pros

    - hold the road

    - not afraid of water

    - steer at 180 km per hour

    Brake well, but not excellent.

    Cons

    - a bit harder to balance

    - a bit crooked (maybe I just got such ones) but overall there are no vibrations, tilt, etc., everything steers smoothly.

    Vehicle:
    Chevrolet Lacetti
    Buy again?:
    Most likely
    Control on a dry road
    Steering in the wet
    Course stability
    Drive comfort
    Quiet in motion
    Braking efficiency
    Resistant to aquaplaning
    Velocity characteristics
    Wearability
    Quality of production
    Price justifiability
  • about tyre Tracmax X-Privilo TX5

    The product was purchased at Mosautoshina
    Rate
    5

    They fit perfectly on Lada Largus. They behave well at speed, moderately noisy. The high profile behaves well on bad roads.

    Vehicle:
    Lada Largus Cross
    Size:
    205/65 R15 94H
    Buy again?:
    Most likely
    City:
    Петрозаводск
    Control on a dry road
    Steering in the wet
    Course stability
    Drive comfort
    Quiet in motion
    Braking efficiency
    Resistant to aquaplaning
    Velocity characteristics
    Wearability
    Quality of production
    Price justifiability
  • about tyre Tracmax X-Privilo TX5

    Rate
    4.9

    Surprisingly very soft and not noisy, handling is excellent

    Vehicle:
    Peugeot 508
    Buy again?:
    Definitely yes
    Control on a dry road
    Steering in the wet
    Course stability
    Drive comfort
    Quiet in motion
    Braking efficiency
    Resistant to aquaplaning
    Velocity characteristics
    Wearability
    Quality of production
    Price justifiability
  • about tyre Tracmax X-Privilo TX5

    Rate
    4.6

    I'm currently driving on my second season with these tires. Considering their cost, they are excellent tires. The grip is good, both in dry and wet weather. I've noticed a few drawbacks:
    1. They wear out very quickly, I've driven 30,000 km and the remaining tread is about 2 mm (my driving style is active).
    2. In the second season, they seem to be noisier than when they were new.
    3. The wear is more pronounced in the central part of the tread (like an over-inflated tire, although the pressure is 2.5 bar).

    Vehicle:
    Lexus IS
    Buy again?:
    Definitely yes
    Control on a dry road
    Steering in the wet
    Course stability
    Drive comfort
    Quiet in motion
    Braking efficiency
    Resistant to aquaplaning
    Velocity characteristics
    Wearability
    Quality of production
    Price justifiability
  • about tyre Tracmax X-Privilo TX5

    Rate
    4.8

    These tires are excellent in terms of price!!! I've driven about 1000 km on them after switching to summer tires, on both good and bad asphalt. In general, on a smooth, good road, they don't bother with noise, they're quite quiet, especially considering I drive a Lada Granta, handling is absolutely normal and predictable, braking is also clear and understandable, can't say it's worse than on more famous tires. Joints, potholes, unevenness are also passed without any issues, didn't notice any discomfort, everything is at a decent level. Overall, I recommend them, price-quality ratio is great.

    Vehicle:
    Lada Granta
    Buy again?:
    Most likely
    Control on a dry road
    Steering in the wet
    Course stability
    Drive comfort
    Quiet in motion
    Braking efficiency
    Resistant to aquaplaning
    Velocity characteristics
    Wearability
    Quality of production
    Price justifiability
  • about tyre Tracmax X-Privilo TX5

    Rate
    5

    The tires are super. Quiet, soft. Previously, I drove on Goodride, also Chinese. We'll see how they perform with wear. Balanced perfectly. Maximum 15g.

    Vehicle:
    Toyota Voxy
    Buy again?:
    Definitely yes
    Control on a dry road
    Steering in the wet
    Course stability
    Drive comfort
    Quiet in motion
    Braking efficiency
    Resistant to aquaplaning
    Velocity characteristics
    Wearability
    Quality of production
    Price justifiability
  • about tyre Tracmax X-Privilo TX5

    Rate
    4

    Good, soft tires, an excellent replacement for expensive brands.

    Vehicle:
    Kia Rio
    Buy again?:
    Most likely
    Control on a dry road
    Steering in the wet
    Course stability
    Drive comfort
    Quiet in motion
    Braking efficiency
    Resistant to aquaplaning
    Velocity characteristics
    Wearability
    Quality of production
    Price justifiability
  • about tyre Tracmax X-Privilo TX5

    Rate
    4.4

    The tire is soft and quiet, it pulls to the side when driving in a rut, in November it started to harden a bit, but not significantly. After Pirelli, it doesn't hold the road as well, but it's acceptable

    Vehicle:
    Hyundai Accent
    Buy again?:
    Most likely
    Control on a dry road
    Steering in the wet
    Course stability
    Drive comfort
    Quiet in motion
    Braking efficiency
    Resistant to aquaplaning
    Velocity characteristics
    Wearability
    Quality of production
    Price justifiability