Opiniones sobre neumáticos Viatti Strada Asimmetrico. Página 121 3266

Calidad super. No hace ruido, traga los baches. Ya compré dos más.

La goma es excelente???? en la lluvia agarra excelente ya lo probé, mucho gracias al vendedor

Está bien. Se equilibran muy bien

Norma de neumáticos

Excelente goma
No un solo indicador ha causado negatividad

En general no está mal, pero..... . Pero son muy ruidosos, a veces ni siquiera la radio puede salvar la situación. La próxima vez daré preferencia a Cooper

Producto excelente

**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 utilizes an activity detection module to identify starting conditions for data extraction and subsequently processes the audio data using speech recognition and pattern detection modules to identify salient patterns. The system then 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 to identify 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, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context, and the speech recognition module processes the audio data to identify salient patterns, and the notetaking application provides the extracted text and patterns to the user.

2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to identify starting conditions for data extraction, and the speech recognition module uses natural language processing techniques to process the audio data and identify salient patterns, and the notetaking application provides a user interface to interactively edit the electronic document incorporating the extracted 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 the audio data using a speech recognition module to identify salient patterns; and providing the extracted text and patterns to a notetaking application to allow users to interactively edit an electronic document incorporating the extracted information.

4. The method of claim 3, wherein the activity detection module uses contextual information from the computer operating context to detect starting conditions for data extraction, and the speech recognition module uses acoustic models to process the audio data and identify salient patterns, and the notetaking application provides a graphical user interface to interactively edit the electronic document incorporating the extracted information.

5. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context, wherein the instructions cause a computer to: detect starting conditions for data extraction using an activity detection module; process the audio data using a speech recognition module to identify salient patterns; and provide the extracted text and patterns to a notetaking application to allow users to interactively edit an electronic document incorporating the extracted information.

6. The computer-readable medium of claim 5, wherein the instructions cause the computer to use machine learning algorithms to detect starting conditions for data extraction, and natural language processing techniques to process the audio data and identify salient patterns, and provide a user interface to interactively edit the electronic document incorporating the extracted information.

7. A 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 patterns to a user, wherein the activity detection module uses contextual information to detect starting conditions, and the speech recognition module uses acoustic models to process the audio data and identify salient patterns.

8. The system of claim 7, 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 techniques to process the audio data and identify salient patterns, and the notetaking application provides a graphical user interface 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: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module to identify salient patterns; and providing the extracted text and patterns to a notetaking application to allow users to interactively edit an electronic document incorporating the extracted information.

10. The method of claim 9, wherein the activity detection module uses contextual information to detect starting conditions for data extraction, and the speech recognition module uses acoustic models to process the audio data and identify salient patterns, and the notetaking application provides a user interface to interactively edit the electronic document incorporating the extracted 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 and identify salient patterns; and a notetaking application to provide the extracted text and patterns to a user, wherein the activity detection module uses machine learning algorithms to detect starting conditions, and the speech recognition module uses natural language processing techniques to process the audio data and identify salient patterns.

12. The computer system of claim 11, wherein the activity detection module uses contextual information to detect starting conditions for data extraction, and the speech recognition module uses acoustic models to process the audio data and identify salient patterns, and the notetaking application provides a graphical user interface 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 a speech recognition module to identify salient patterns; and providing the extracted text and patterns to a notetaking application to allow users to interactively edit an electronic document incorporating the extracted information, wherein the activity detection module uses machine learning algorithms to detect starting conditions, and the speech recognition module uses natural language processing techniques to process the audio data and identify salient patterns.

14. The method of claim 13, wherein the activity detection module uses contextual information to detect starting conditions for data extraction, and the speech recognition module uses acoustic models to process the audio data and identify salient patterns, and the notetaking application provides a user interface to interactively edit the electronic document incorporating the extracted information.

15. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context, wherein the instructions cause a computer to: detect starting conditions for data extraction using an activity detection module; process the audio data using a speech recognition module to identify salient patterns; and provide the extracted text and patterns to a notetaking application to allow 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 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 patterns to a user.
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 techniques to process the audio data and identify salient patterns, and the notetaking application provides a graphical user interface to interactively edit an electronic document incorporating the extracted 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 the audio data using a speech recognition module to identify salient patterns; and providing the extracted text and patterns to a notetaking application to allow users to interactively edit an electronic document incorporating the extracted information.
4. The method of claim 3, wherein the activity detection module uses contextual information to detect starting conditions for data extraction, and the speech recognition module uses acoustic models to process the audio data and identify salient patterns, and the notetaking application provides a user interface to interactively edit the electronic document incorporating the extracted information.
5. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context, wherein the instructions cause a computer to: detect starting conditions for data extraction using an activity detection module; process the audio data using a speech recognition module to identify salient patterns; and provide the extracted text and patterns to a notetaking application to allow users to interactively edit an electronic document incorporating the extracted information.
6. The computer-readable medium of claim 5, wherein the instructions cause the computer to use machine learning algorithms to detect starting conditions for data extraction, and natural language processing techniques to process the audio data and identify salient patterns, and provide a graphical user interface to interactively edit the electronic document incorporating the extracted information.
7. A 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 patterns to a user, wherein the activity detection module uses contextual information to detect starting conditions for data extraction, and the speech recognition module uses acoustic models to process the audio data and identify salient patterns.
8. The system of claim 7, 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 techniques to process the audio data and identify salient patterns, and the notetaking application provides a user interface 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: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module to identify salient patterns; and providing the extracted text and patterns to a notetaking application to allow users to interactively edit an electronic document incorporating the extracted information.
10. The method of claim 9, wherein the activity detection module uses contextual information to detect starting conditions for data extraction, and the speech recognition module uses acoustic models to process the audio data and identify salient patterns, and the notetaking application provides a graphical user interface to interactively edit the electronic document incorporating the extracted 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 and identify salient patterns; and a notetaking application to provide the extracted text and patterns to a user.
12. The computer system of claim 11, 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 techniques to process the audio data and identify salient patterns, and the notetaking application provides a user interface 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 a speech recognition module to identify salient patterns; and providing the extracted text and patterns to a notetaking application to allow users to interactively edit an electronic document incorporating the extracted information.
14. The method of claim 13, wherein the activity detection module uses contextual information to detect starting conditions for data extraction, and the speech recognition module uses acoustic models to process the audio data and identify salient patterns, and the notetaking application provides a graphical user interface to interactively edit the electronic document incorporating the extracted information.
15. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context, wherein the instructions cause a computer to: detect starting conditions for data extraction using an activity detection module; process the audio data using a speech recognition module to identify salient patterns; and provide the extracted text and patterns to a notetaking application to allow 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 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 patterns to a user.
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 techniques to process the audio data and identify salient patterns.
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 a speech recognition module to identify salient patterns; and providing the extracted text and patterns to a notetaking application to allow users to interactively edit an electronic document incorporating the extracted information.
4. The method of claim 3, wherein the activity detection module uses contextual information to detect starting conditions for data extraction, and the speech recognition module uses acoustic models to process the audio data and identify salient patterns.
5. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context, wherein the instructions cause a computer to: detect starting conditions for data extraction using an activity detection module; process the audio data using a speech recognition module to identify salient patterns; and provide the extracted text and patterns to a notetaking application to allow users to interactively edit an electronic document incorporating the extracted information.
6. The computer-readable medium of claim 5, wherein the instructions cause the computer to use machine learning algorithms to detect starting conditions for data extraction, and natural language processing techniques to process the audio data and identify salient patterns.
7. A 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 patterns to a user.
8. The system of claim 7, wherein the activity detection module uses contextual information to detect starting conditions for data extraction, and the speech recognition module uses acoustic models to process the audio data and identify salient patterns.
9. 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 to identify salient patterns; and providing the extracted text and patterns to a notetaking application to allow users to interactively edit an electronic document incorporating the extracted information.
10. The method of claim 9, 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 techniques to process the audio data and identify salient patterns.
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 identify salient patterns; and a notetaking application to provide the extracted text and patterns to a user.
12. The computer system of claim 11, wherein the activity detection module uses contextual information to detect starting conditions for data extraction, and the speech recognition module uses acoustic models to process the audio data and identify salient patterns.
13. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context, wherein the instructions cause a computer to: detect starting conditions for data extraction using an activity detection module; process the audio data using a speech recognition module to identify salient patterns; and provide the extracted text and patterns to a notetaking application to allow users to interactively edit an electronic document incorporating the extracted information.
14. The computer-readable medium of claim 13, wherein the instructions cause the computer to use machine learning algorithms to detect starting conditions for data extraction, and natural language processing techniques to process the audio data and identify salient patterns.
15. A 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 patterns to a user.

**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 patterns to a user.
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: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module to identify salient patterns; and providing the extracted text and patterns to a notetaking application to allow users to interactively edit an electronic document incorporating the extracted information.
4. The method of claim 3, wherein the activity detection module uses contextual information to detect starting conditions for data extraction.
5. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context, wherein the instructions cause a computer to: detect starting conditions for data extraction using an activity detection module; process the audio data using a speech recognition module to identify salient patterns; and provide the extracted text and patterns to a notetaking application to allow users to interactively edit an electronic document incorporating the extracted information.
6. The computer-readable medium of claim 5, wherein the instructions cause the computer to use machine learning algorithms to detect starting conditions for data extraction.
7. A 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 patterns to a user.
8. The system of claim 7, wherein the activity detection module uses contextual information to detect starting conditions for data extraction.
9. 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 to identify salient patterns; and providing the extracted text and patterns to a notetaking application to allow users to interactively edit an electronic document incorporating the extracted information.
10. The method of claim 9, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.
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 identify salient patterns; and a notetaking application to provide the extracted text and patterns to a user.
12. The computer system of claim 11, wherein the activity detection module uses contextual information to detect starting conditions for data extraction.
13. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context, wherein the instructions cause a computer to: detect starting conditions for data extraction using an activity detection module; process the audio data using a speech recognition module to identify salient patterns; and provide the extracted text and patterns to a notetaking application to allow users to interactively edit an electronic document incorporating the extracted information.
14. The computer-readable medium of claim 13, wherein the instructions cause the computer to use machine learning algorithms to detect starting conditions for data extraction.
15. A 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 patterns to a user.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context.
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.
4. The method of claim 3, wherein the activity detection module uses contextual information to detect starting conditions for data extraction.
5. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context.
6. The computer-readable medium of claim 5, wherein the instructions cause the computer to use machine learning algorithms to detect starting conditions for data extraction.
7. A system for automatically capturing information from audio data and computer operating context.
8. The system of claim 7, wherein the activity detection module uses contextual information to detect starting conditions for data extraction.
9. A method for automatically capturing information from audio data and computer operating context.
10. The method of claim 9, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.
11. A computer system for automatically capturing information from audio data and computer operating context.
12. The computer system of claim 11, wherein the activity detection module uses contextual information to detect starting conditions for data extraction.
13. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context.
14. The computer-readable medium of claim 13, wherein the instructions cause the computer to use machine learning algorithms to detect starting conditions for data extraction.
15. A system for automatically capturing information from audio data and computer operating context.

Buenas)

El precio y la calidad son aceptables. Para el verano son un poco pesados y ruidosos. En todo lo demás, es un caucho excelente.