Opiniones sobre neumáticos Cordiant Winter Drive 2 SUV. Página 3 1183

Por primera vez en mi vida compré neumáticos de invierno sin crampones, siempre tuve miedo de que precisamente en hielo serían poco efectivos. Resulta que todo este tiempo me equivoqué mucho, la diferencia en hielo es prácticamente imperceptible con neumáticos con crampones. Y como ventaja, son completamente silenciosos, el confort en la carretera es de cinco estrellas, y también se comportan bien en la nieve. Mis impresiones son solo positivas, y encima los compré en promoción por 7200, es un regalo. Pongo cinco estrellas de cinco.

Buena goma!!! La compro por primera vez no! Muy silenciosa! ¡Excelente agarre en mojado!

Neumáticos de excelente calidad

Entrega a domicilio. Nuevos a buen precio.

Todo como eligieron ha sido entregado a tiempo, ahora vamos a montarlos en los discos, bueno, y las cualidades de manejo solo las veremos en invierno

El marido está satisfecho, la goma es fresca, 24 años, todo sin quejas, gracias

**Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings, and provides the extracted text and patterns to a notetaking application for further processing and review.

**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 notetaking application to receive and process the extracted information.
2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
3. The system of claim 1, wherein the speech recognition module uses natural language processing to transcribe the audio data into text, and the pattern detection module uses machine learning algorithms to identify salient patterns in the transcribed text.
4. The system of claim 1, wherein the notetaking application allows users to interactively edit and review the extracted information, and provides suggestions for further processing and organization of the extracted information.
5. 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 a speech recognition module; identifying salient patterns using a pattern detection module; and providing the extracted information to a notetaking application for further processing and review.
6. The method of claim 5, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including user activity, location, and time of day.
7. The method of claim 5, wherein the speech recognition module uses natural language processing to transcribe the audio data into text, and the pattern detection module uses machine learning algorithms to identify salient patterns in the transcribed text.
8. A computer-implemented method for automatically capturing information from audio data and computer operating context, the method comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted information to a notetaking application.
9. The method of claim 8, wherein the notetaking application allows users to interactively edit and review the extracted information, and provides suggestions for further processing and organization of the extracted information.
10. A system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions; means for processing the audio data; means for identifying salient patterns; and means for providing the extracted information to a notetaking application.
11. The system of claim 10, wherein the means for detecting starting conditions uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
12. A method for automatically capturing information from audio data and computer operating context, the method comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted information to a notetaking application for further processing and review.
13. The method of claim 12, wherein the detecting starting conditions step uses natural language processing to detect starting conditions based on audio data and computer operating context.
14. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application to receive and process the extracted information.
15. The system of claim 14, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context, and the speech recognition module uses natural language processing to transcribe the audio data into text.

**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 notetaking application to receive and process the extracted information.
2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
3. The system of claim 1, wherein the speech recognition module uses natural language processing to transcribe the audio data into text, and the pattern detection module uses machine learning algorithms to identify salient patterns in the transcribed text.
4. The system of claim 1, wherein the notetaking application allows users to interactively edit and review the extracted information, and provides suggestions for further processing and organization of the extracted information.
5. A method for automatically capturing information from audio data and computer operating context, the method comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module; identifying salient patterns using a pattern detection module; and providing the extracted information to a notetaking application for further processing and review.
6. The method of claim 5, wherein the detecting starting conditions step uses natural language processing to detect starting conditions based on audio data and computer operating context.
7. The method of claim 5, wherein the speech recognition module uses natural language processing to transcribe the audio data into text, and the pattern detection module uses machine learning algorithms to identify salient patterns in the transcribed text.
8. A computer-implemented method for automatically capturing information from audio data and computer operating context, the method comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted information to a notetaking application for further processing and review.
9. The method of claim 8, wherein the detecting starting conditions step uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
10. A system for automatically capturing information from audio data and computer operating context, comprising: means for detecting starting conditions; means for processing the audio data; means for identifying salient patterns; and means for providing the extracted information to a notetaking application for further processing and review.
11. The system of claim 10, wherein the means for detecting starting conditions uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
12. The system of claim 10, wherein the means for processing the audio data uses natural language processing to transcribe the audio data into text, and the means for identifying salient patterns uses machine learning algorithms to identify salient patterns in the transcribed text.
13. 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 notetaking application to receive and process the extracted information.
14. The system of claim 13, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context, and the speech recognition module uses natural language processing to transcribe the audio data into text.
15. The system of claim 13, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the transcribed text, and the notetaking application allows users to interactively edit and review the extracted information.

La goma llegó perfecta, un conjunto de una sola partida y eso que no es tan importante que sea fresca

Pedimos neumáticos de invierno R17, llegaron ideales, todo según lo declarado. Llegaron a tiempo. Quedamos satisfechos

Adquirí neumáticos debido a mi mudanza a las regiones del sur. Recorrí el invierno (4 meses) y no me arrepentí. El fango de nieve y el hielo los soportó de manera excelente. Un poco ruidosos en comparación con los neumáticos de verano.