Opiniones sobre neumáticos Kumho Crugen HT51 4

No recomiendo utilizar los servicios de montaje de neumáticos de esta empresa. La orden de llegada y la puntualidad de los pedidos de montaje de neumáticos no se cumplen. Los trabajadores del montaje de neumáticos no pueden realizar su trabajo a tiempo.

Teníamos que esperar más de media hora hasta que nos llamaran al box, aunque llegamos con 15 minutos de antelación al momento acordado. Y esto no es todo.

Ambos boxes estaban ocupados por coches y había que esperar todavía media hora ( nos lo dijo un trabajador del montaje de neumáticos). No podíamos esperar tanto y nos vimos obligados a irnos.

Durante nuestra espera, dos hombres también se fueron, sin esperar su turno.

Parece que la dirección de Mosaavtochina debería revisar el intervalo de pedidos para trabajar, si es que en la temporada de "cambio de neumáticos" los trabajadores no pueden cumplir con su trabajo, en lugar de obligar a los clientes a perder su tiempo en una larga espera.

El afán de obtener más pedidos, a pesar de la ejecución adecuada de los mismos, parece ser el objetivo.

**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 various modules, including activity detection, speech recognition, and pattern detection, to identify salient information and provide it to a notetaking application. 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, the method comprising: detecting activity in the audio data; recognizing speech in the audio data; identifying salient information from the recognized speech; and providing the identified information to a notetaking application, wherein the identified information is used to generate notes.

2. A system for capturing information from audio data and computer operating context, the system comprising: an activity detection module to detect activity; a speech recognition module to recognize speech; and a pattern detection module to identify salient information, wherein the system provides the identified information to a notetaking application.

3. A computer system for automatically capturing information from conversations and meetings, the system comprising: a microphone to capture audio data; a processor to detect activity, recognize speech, and identify salient information; and a storage device to store the identified information, wherein the system provides the identified information to a notetaking application.

4. A method for automatically generating notes from conversations and meetings, the method comprising: detecting activity in the conversations; recognizing speech in the conversations; identifying salient information from the recognized speech; and providing the identified information to a notetaking application.

5. A system for capturing information from audio data, the system comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system provides the identified information to the notetaking application.

6. A computer-implemented method for automatically capturing information from conversations, the method comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses machine learning algorithms to improve the accuracy of the identified information.

7. A system for automatically generating notes from conversations and meetings, the system comprising: a microphone; a processor; a storage device; and a notetaking application, wherein the system provides the identified information to the notetaking application.

8. A method for capturing information from audio data, the method comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses natural language processing to identify key phrases and concepts.

9. A computer system for automatically capturing information from conversations, the system comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system provides the identified information to the notetaking application.

10. A method for automatically generating notes from conversations and meetings, the method comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses machine learning algorithms to improve the accuracy of the identified information.

11. A system for capturing information from audio data, the system comprising: a microphone; a processor; a storage device; and a notetaking application, wherein the system provides the identified information to the notetaking application.

12. A computer-implemented method for automatically capturing information from conversations, the method comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses natural language processing to identify key phrases and concepts.

13. A system for automatically generating notes from conversations and meetings, the system comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system provides the identified information to the notetaking application.

14. A method for capturing information from audio data, the method comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses machine learning algorithms to improve the accuracy of the identified information.

15. A computer system for automatically capturing information from conversations, the system comprising: a microphone; a processor; a storage device; and a notetaking application, wherein the system provides the identified information to the notetaking application.

**Claims**:
1. A computer-implemented method for automatically capturing information from audio data, comprising: detecting activity in the audio data; recognizing speech in the audio data; identifying salient information from the recognized speech; and providing the identified information to a notetaking application.
2. A system for capturing information from audio data, comprising: an activity detection module to detect activity; a speech recognition module to recognize speech; a pattern detection module to identify salient information; and a notetaking application to receive the identified information.
3. A method for automatically generating notes from conversations and meetings, comprising: detecting activity in the conversations; recognizing speech in the conversations; identifying salient information from the recognized speech; and providing the identified information to a notetaking application.
4. A computer system for automatically capturing information from conversations, comprising: a microphone to capture audio data; a processor to detect activity, recognize speech, and identify salient information; and a storage device to store the identified information.
5. A system for automatically generating notes from conversations and meetings, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system provides the identified information to the notetaking application.
6. A method for capturing information from audio data, comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses machine learning algorithms to improve the accuracy of the identified information.
7. A system for capturing information from audio data, comprising: a microphone; a processor; a storage device; and a notetaking application, wherein the system provides the identified information to the notetaking application.
8. A computer-implemented method for automatically capturing information from conversations, comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses natural language processing to identify key phrases and concepts.
9. A system for automatically generating notes from conversations and meetings, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system provides the identified information to the notetaking application.
10. A method for capturing information from audio data, comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses machine learning algorithms to improve the accuracy of the identified information.
11. A computer system for automatically capturing information from conversations, comprising: a microphone; a processor; a storage device; and a notetaking application, wherein the system provides the identified information to the notetaking application.
12. A method for automatically generating notes from conversations and meetings, comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses natural language processing to identify key phrases and concepts.
13. A system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system provides the identified information to the notetaking application.
14. A method for capturing information from audio data, comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses machine learning algorithms to improve the accuracy of the identified information.
15. A computer system for automatically capturing information from conversations, comprising: a microphone; a processor; a storage device; and a notetaking application, wherein the system provides the identified information to the notetaking application.

**Claims**:
1. A method for automatically capturing information from audio data, comprising: detecting activity in the audio data; recognizing speech in the audio data; identifying salient information from the recognized speech; and providing the identified information to a notetaking application.
2. A system for capturing information from audio data, comprising: an activity detection module to detect activity; a speech recognition module to recognize speech; a pattern detection module to identify salient information; and a notetaking application to receive the identified information.
3. A computer-implemented method for automatically generating notes from conversations and meetings, comprising: detecting activity in the conversations; recognizing speech in the conversations; identifying salient information from the recognized speech; and providing the identified information to a notetaking application.
4. A system for automatically capturing information from conversations, comprising: a microphone to capture audio data; a processor to detect activity, recognize speech, and identify salient information; and a storage device to store the identified information.
5. A method for capturing information from audio data, comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses machine learning algorithms to improve the accuracy of the identified information.
6. A computer system for automatically generating notes from conversations and meetings, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system provides the identified information to the notetaking application.
7. A system for capturing information from audio data, comprising: a microphone; a processor; a storage device; and a notetaking application, wherein the system provides the identified information to the notetaking application.
8. A method for automatically capturing information from conversations, comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses natural language processing to identify key phrases and concepts.
9. A computer-implemented method for automatically generating notes from conversations and meetings, comprising: detecting activity in the conversations; recognizing speech in the conversations; identifying salient information from the recognized speech; and providing the identified information to a notetaking application.
10. A system for capturing information from audio data, comprising: an activity detection module to detect activity; a speech recognition module to recognize speech; a pattern detection module to identify salient information; and a notetaking application to receive the identified information.
11. A method for capturing information from audio data, comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses machine learning algorithms to improve the accuracy of the identified information.
12. A computer system for automatically capturing information from conversations, comprising: a microphone to capture audio data; a processor to detect activity, recognize speech, and identify salient information; and a storage device to store the identified information.
13. A system for automatically generating notes from conversations and meetings, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system provides the identified information to the notetaking application.
14. A method for capturing information from audio data, comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses natural language processing to identify key phrases and concepts.
15. A computer system for automatically capturing information from conversations, comprising: a microphone; a processor; a storage device; and a notetaking application, wherein the system provides the identified information to the notetaking application.

**Claims**:
1. A computer-implemented method for automatically capturing information from audio data, comprising: detecting activity in the audio data; recognizing speech in the audio data; identifying salient information from the recognized speech; and providing the identified information to a notetaking application.
2. A system for capturing information from audio data, comprising: an activity detection module to detect activity; a speech recognition module to recognize speech; a pattern detection module to identify salient information; and a notetaking application to receive the identified information.
3. A method for automatically generating notes from conversations and meetings, comprising: detecting activity in the conversations; recognizing speech in the conversations; identifying salient information from the recognized speech; and providing the identified information to a notetaking application.
4. A computer system for automatically capturing information from conversations, comprising: a microphone to capture audio data; a processor to detect activity, recognize speech, and identify salient information; and a storage device to store the identified information.
5. A method for capturing information from audio data, comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses machine learning algorithms to improve the accuracy of the identified information.
6. A system for automatically generating notes from conversations and meetings, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system provides the identified information to the notetaking application.
7. A computer-implemented method for automatically capturing information from conversations, comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses natural language processing to identify key phrases and concepts.
8. A system for capturing information from audio data, comprising: a microphone; a processor; a storage device; and a notetaking application, wherein the system provides the identified information to the notetaking application.
9. A method for automatically generating notes from conversations and meetings, comprising: detecting activity in the conversations; recognizing speech in the conversations; identifying salient information from the recognized speech; and providing the identified information to a notetaking application.
10. A computer system for automatically capturing information from conversations, comprising: a microphone to capture audio data; a processor to detect activity, recognize speech, and identify salient information; and a storage device to store the identified information.
11. A system for capturing information from audio data, comprising: an activity detection module to detect activity; a speech recognition module to recognize speech; a pattern detection module to identify salient information; and a notetaking application to receive the identified information.
12. A method for capturing information from audio data, comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses machine learning algorithms to improve the accuracy of the identified information.
13. A computer system for automatically generating notes from conversations and meetings, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system provides the identified information to the notetaking application.
14. A method for capturing information from audio data, comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses natural language processing to identify key phrases and concepts.
15. A computer system for automatically capturing information from conversations, comprising: a microphone; a processor; a storage device; and a notetaking application, wherein the system provides the identified information to the notetaking application.

**Claims**:
1. A computer-implemented method for automatically capturing information from audio data, comprising: detecting activity in the audio data; recognizing speech in the audio data; identifying salient information from the recognized speech; and providing the identified information to a notetaking application.
2. A system for capturing information from audio data, comprising: an activity detection module to detect activity; a speech recognition module to recognize speech; a pattern detection module to identify salient information; and a notetaking application to receive the identified information.
3. A method for automatically generating notes from conversations and meetings, comprising: detecting activity in the conversations; recognizing speech in the conversations; identifying salient information from the recognized speech; and providing the identified information to a notetaking application.
4. A computer system for automatically capturing information from conversations, comprising: a microphone to capture audio data; a processor to detect activity, recognize speech, and identify salient information; and a storage device to store the identified information.
5. A method for capturing information from audio data, comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses machine learning algorithms to improve the accuracy of the identified information.
6. A system for automatically generating notes from conversations and meetings, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system provides the identified information to the notetaking application.
7. A computer-implemented method for automatically capturing information from conversations, comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses natural language processing to identify key phrases and concepts.
8. A system for capturing information from audio data, comprising: a microphone; a processor; a storage device; and a notetaking application, wherein the system provides the identified information to the notetaking application.
9. A method for automatically generating notes from conversations and meetings, comprising: detecting activity in the conversations; recognizing speech in the conversations; identifying salient information from the recognized speech; and providing the identified information to a notetaking application.
10. A computer system for automatically capturing information from conversations, comprising: a microphone to capture audio data; a processor to detect activity, recognize speech, and identify salient information; and a storage device to store the identified information.
11. A system for capturing information from audio data, comprising: an activity detection module to detect activity; a speech recognition module to recognize speech; a pattern detection module to identify salient information; and a notetaking application to receive the identified information.
12. A method for capturing information from audio data, comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses machine learning algorithms to improve the accuracy of the identified information.
13. A computer system for automatically generating notes from conversations and meetings, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, wherein the system provides the identified information to the notetaking application.
14. A method for capturing information from audio data, comprising: detecting activity; recognizing speech; identifying salient information; and providing the identified information to a notetaking application, wherein the method uses natural language processing to identify key phrases and concepts.
15. A computer system for automatically capturing information from conversations, comprising: a microphone; a processor; a storage device; and a notetaking application, wherein the system provides the identified information to the notetaking application.

Excelente neumático por poco dinero .

Neumático normal. No es malo. Mantiene el camino. Evacúa el agua. Lo único que me parece es que ha aumentado el consumo.