Opiniones sobre neumáticos Cordiant Road Runner. Página 131 5981

Gracias al vendedor, los neumáticos son buenos.

La goma es buena, suave. Estoy satisfecho con la calidad

En cuanto a la relación calidad-precio, ¡son los mejores! No son ruidosos, son transitable en cualquier condición climática y en diferentes tipos de carreteras (tierra, autopista).

La llanta es buena. Desafortunadamente, pedí la equivocada, por lo que la rechacé.

**Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context. The key technical features of the invention include the activity detection module, speech recognition, and pattern detection. 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.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing 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, and the speech recognition module uses natural language processing to process audio data and identify relevant information.
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 audio data using a speech recognition module; identifying salient patterns using a pattern detection module; and interactively editing an electronic document incorporating the extracted information.
4. The method of claim 3, wherein the pattern detection module uses deep learning techniques to identify salient patterns, and the notetaking application provides a user interface for interactively editing the electronic document.
5. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data from a microphone or other audio input device; processing the audio data using a speech recognition module to identify relevant information; analyzing the processed audio data using a pattern detection module to identify salient patterns; and providing the extracted information to a notetaking application for interactive editing.
6. The method of claim 5, wherein the speech recognition module uses acoustic models to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns.
7. A system for capturing information from audio data and computer operating context, comprising: an audio input device for receiving audio data; a speech recognition module for processing the audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.
8. The system of claim 7, wherein the notetaking application provides a user interface for editing the electronic document, and the pattern detection module uses natural language processing to identify relevant information.
9. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.
10. The system of claim 9, wherein the activity detection module uses machine learning algorithms to detect starting conditions, and the speech recognition module uses deep learning techniques to process audio data.
11. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted information to a notetaking application for interactive editing.
12. The method of claim 11, wherein the pattern detection module uses natural language processing to identify relevant information, and the notetaking application provides a user interface for editing the electronic document.
13. A computer system for capturing information from audio data and computer operating context, comprising: an audio input device; a speech recognition module; a pattern detection module; and a notetaking application for interactively editing an electronic document incorporating the extracted information.
14. The system of claim 13, wherein the speech recognition module uses acoustic models to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns.
15. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data; processing the audio data using speech recognition; analyzing the processed audio data using pattern detection; and providing the extracted information to a notetaking application for interactive editing.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing 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.
3. The system of claim 1, wherein the speech recognition module uses deep learning techniques to process audio data.
4. The system of claim 1, wherein the pattern detection module uses natural language processing to identify salient patterns.
5. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted information to a notetaking application for interactive editing.
6. The method of claim 5, wherein the pattern detection module uses machine learning algorithms to identify salient patterns.
7. The method of claim 5, wherein the notetaking application provides a user interface for editing the electronic document.
8. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an audio input device for receiving audio data; a speech recognition module for processing the audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.
9. The system of claim 8, wherein the speech recognition module uses acoustic models to process audio data.
10. The system of claim 8, wherein the pattern detection module uses natural language processing to identify relevant information.

**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-implemented 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, allowing users to interactively edit an electronic document incorporating the extracted information.

2. A system for 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 notetaking application to allow users to interactively edit an electronic document.

3. 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 to a notetaking application.

4. A computer-implemented system for capturing information from audio data, comprising: a computer operating context that detects starting conditions for data extraction; an activity detection module that processes audio data; and a notetaking application that allows users to interactively edit an electronic document incorporating the extracted information.

5. A method for automatically capturing information from conversations, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition; and providing the extracted text to a notetaking application to allow users to interactively edit an electronic document.

6. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; and a notetaking application to provide the extracted text to users.

7. A computer-implemented 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 notetaking application.

8. A system for capturing information from conversations, comprising: a computer operating context; an activity detection module; a speech recognition module; and a notetaking application.

9. 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 to a notetaking application.

10. A computer-implemented system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; and a notetaking application to provide the extracted text to users.

**Claims**:
1. A computer-implemented 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, allowing users to interactively edit an electronic document incorporating the extracted information.

2. A system for 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 notetaking application to provide the extracted text to users.

3. A computer-implemented system for capturing information from conversations, comprising: a computer operating context; an activity detection module to detect starting conditions; a speech recognition module to process the audio data; and a notetaking application to allow users to interactively edit an electronic document incorporating the extracted information.

4. 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 to a notetaking application to allow users to interactively edit an electronic document.

5. A computer-implemented system for 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 notetaking application to provide the extracted text to users.

6. A system for capturing information from conversations, comprising: a computer operating context; an activity detection module; a speech recognition module; and a notetaking application to allow users to interactively edit an electronic document incorporating the extracted information.

7. A computer-implemented 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 notetaking application.

8. A system for 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 notetaking application to provide the extracted text to users.

9. A method for automatically capturing information from conversations, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection; and providing the extracted text to a notetaking application to allow users to interactively edit an electronic document.

10. A computer-implemented system for 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 notetaking application to provide the extracted text to users.

**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 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, and provides the extracted text and salient patterns to the note-taking application.
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 note-taking application.
4. The method of claim 3, wherein the activity detection module uses natural language processing techniques to identify keywords and phrases in the audio data, and the note-taking application allows users to annotate and organize the extracted information.
5. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data from a microphone or other audio input device; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application for interactive editing.
6. The method of claim 5, wherein the speech recognition module uses deep learning algorithms to transcribe the audio data, and the pattern detection module uses machine learning techniques to identify relevant information.
7. A system for automatically capturing information from audio data and computer operating context, comprising: a microphone or other audio input device to receive audio data; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
8. The system of claim 7, wherein the activity detection module uses a combination of natural language processing and machine learning techniques to detect starting conditions for data extraction and identify relevant information.
9. A method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data from a microphone or other audio input device; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; providing the extracted text and salient patterns to a note-taking application; and allowing users to interactively edit an electronic document incorporating the extracted information.
10. The method of claim 9, wherein the speech recognition module uses deep learning algorithms to transcribe the audio data, and the pattern detection module uses machine learning techniques to identify relevant information.
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; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
12. The system of claim 11, wherein the activity detection module uses natural language processing techniques to identify keywords and phrases in the audio data, and the note-taking application allows users to annotate and organize the extracted information.
13. 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; providing the extracted text and salient patterns to a note-taking application; and allowing users to interactively edit an electronic document incorporating the extracted information.
14. The method of claim 13, wherein the speech recognition module uses machine learning algorithms to transcribe the audio data, and the pattern detection module uses deep learning techniques to identify relevant information.
15. A computer-implemented system for capturing information from audio data and computer operating context, comprising: a microphone or other audio input device to receive audio data; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic 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; a pattern detection module to identify salient patterns; and a note-taking application 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.
3. A method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data from a microphone or other audio input device; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; providing the extracted text and salient patterns to a note-taking application; and allowing users to interactively edit an electronic document incorporating the extracted information.
4. The method of claim 3, wherein the speech recognition module uses deep learning algorithms to transcribe the audio data.
5. A computer-implemented method for 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; providing the extracted text and salient patterns to a note-taking application; and allowing users to interactively edit an electronic document incorporating the extracted information.
6. The method of claim 5, wherein the pattern detection module uses machine learning techniques to identify relevant information.
7. A system for automatically capturing information from audio data and computer operating context, comprising: a microphone or other audio input device to receive audio data; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
8. The system of claim 7, wherein the activity detection module uses natural language processing techniques to identify keywords and phrases in the audio data.
9. A method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data from a microphone or other audio input device; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; providing the extracted text and salient patterns to a note-taking application; and allowing users to interactively edit an electronic document incorporating the extracted information.
10. The method of claim 9, wherein the speech recognition module uses deep learning algorithms to transcribe the audio data, and the pattern detection module uses machine learning techniques to identify relevant information.
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; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
12. The system of claim 11, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction, and the note-taking application allows users to annotate and organize the extracted information.
13. 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; providing the extracted text and salient patterns to a note-taking application; and allowing users to interactively edit an electronic document incorporating the extracted information.
14. The method of claim 13, wherein the speech recognition module uses deep learning algorithms to transcribe the audio data, and the pattern detection module uses machine learning techniques to identify relevant information.
15. A computer-implemented system for capturing information from audio data and computer operating context, comprising: a microphone or other audio input device to receive audio data; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic 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; a pattern detection module to identify salient patterns; and a note-taking application 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, and the note-taking application allows users to annotate and organize the extracted information.
3. A method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data from a microphone or other audio input device; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; providing the extracted text and salient patterns to a note-taking application; and allowing users to interactively edit an electronic document incorporating the extracted information.
4. The method of claim 3, wherein the speech recognition module uses deep learning algorithms to transcribe the audio data, and the pattern detection module uses machine learning techniques to identify relevant information.
5. A computer-implemented method for 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; providing the extracted text and salient patterns to a note-taking application; and allowing users to interactively edit an electronic document incorporating the extracted information.
6. The method of claim 5, wherein the activity detection module uses natural language processing techniques to identify keywords and phrases in the audio data, and the note-taking application allows users to annotate and organize the extracted information.
7. A system for automatically capturing information from audio data and computer operating context, comprising: a microphone or other audio input device to receive audio data; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
8. The system of claim 7, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction, and the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
9. A method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data from a microphone or other audio input device; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; providing the extracted text and salient patterns to a note-taking application; and allowing users to interactively edit an electronic document incorporating the extracted information.
10. The method of claim 9, wherein the speech recognition module uses deep learning algorithms to transcribe the audio data, and the pattern detection module uses machine learning techniques to identify relevant information.
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; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
12. The system of claim 11, wherein the activity detection module uses natural language processing techniques to identify keywords and phrases in the audio data, and the note-taking application allows users to annotate and organize the extracted information.
13. 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; providing the extracted text and salient patterns to a note-taking application; and allowing users to interactively edit an electronic document incorporating the extracted information.
14. The method of claim 13, wherein the speech recognition module uses deep learning algorithms to transcribe the audio data, and the pattern detection module uses machine learning techniques to identify relevant information.
15. A computer-implemented system for capturing information from audio data and computer operating context, comprising: a microphone or other audio input device to receive audio data; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic 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; a pattern detection module to identify salient patterns; and a note-taking application 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.
3. A method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data from a microphone or other audio input device; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; providing the extracted text and salient patterns to a note-taking application; and allowing users to interactively edit an electronic document incorporating the extracted information.
4. The method of claim 3, wherein the speech recognition module uses deep learning algorithms to transcribe the audio data.
5. A computer-implemented method for 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; providing the extracted text and salient patterns to a note-taking application; and allowing users to interactively edit an electronic document incorporating the extracted information.
6. The method of claim 5, wherein the pattern detection module uses machine learning techniques to identify relevant information.
7. A system for automatically capturing information from audio data and computer operating context, comprising: a microphone or other audio input device to receive audio data; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
8. The system of claim 7, wherein the activity detection module uses natural language processing techniques to identify keywords and phrases in the audio data.
9. A method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data from a microphone or other audio input device; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; providing the extracted text and salient patterns to a note-taking application; and allowing users to interactively edit an electronic document incorporating the extracted information.
10. The method of claim 9, wherein the speech recognition module uses deep learning algorithms to transcribe the audio data, and the pattern detection module uses machine learning techniques to identify relevant information.
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; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
12. The system of claim 11, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction, and the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
13. 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; providing the extracted text and salient patterns to a note-taking application; and allowing users to interactively edit an electronic document incorporating the extracted information.
14. The method of claim 13, wherein the speech recognition module uses deep learning algorithms to transcribe the audio data, and the pattern detection module uses machine learning techniques to identify relevant information.
15. A computer-implemented system for capturing information from audio data and computer operating context, comprising: a microphone or other audio input device to receive audio data; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context.
2. The system of claim 1, wherein the system uses machine learning algorithms to detect starting conditions for data extraction.
3. A method for automatically capturing information from audio data and computer operating context.
4. The method of claim 3, wherein the method uses deep learning algorithms to transcribe the audio data.
5. A computer-implemented method for capturing information from audio data and computer operating context.
6. The method of claim 5, wherein the method uses machine learning techniques to identify relevant information.
7. A system for automatically capturing information from audio data and computer operating context.
8. The system of claim 7, wherein the system uses natural language processing techniques to identify keywords and phrases in the audio data.
9. A method for automatically capturing information from audio data and computer operating context.
10. The method of claim 9, wherein the method uses deep learning algorithms to transcribe the audio data, and the pattern detection module uses machine learning techniques to identify relevant information.
11. A computer system for automatically capturing information from audio data and computer operating context.
12. The system of claim 11, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction, and the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
13. A method for automatically capturing information from audio data and computer operating context.
14. The method of claim 13, wherein the speech recognition module uses deep learning algorithms to transcribe the audio data, and the pattern detection module uses machine learning techniques to identify relevant information.
15. A computer-implemented system for capturing information from audio data and computer operating context.

La goma es buena. 07/24 fecha de fabricación compré 4 ruedas. Se equilibraron todo sin problemas. Silenciosa, antes tenía Yokohama A.Drive.

Los neumáticos son excelentes. Suave, a gran velocidad agarra bien el camino.

Buena goma!