Opiniones sobre neumáticos LingLong Grip Master C/S. Página 8 169

Precio-calidad, no es mala.
Veremos cómo se desgasta rápidamente.

La goma no es mala en premium no he conducido, pero por la sensación de momento es mejor que la coreana.

Hasta ahora bien, evacúa bien el agua!

**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 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 provide the extracted text and salient patterns to a user interface, wherein the system provides the extracted information to the user interface for interactive editing.

2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on user input, such as conversations, meetings, and other audio data.

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; providing the extracted text and salient patterns to a notetaking application; and interactively editing the electronic document incorporating the extracted information.

4. The method of claim 3, wherein the speech recognition module uses natural language processing to process the audio data; the pattern detection module uses machine learning algorithms to identify salient patterns; and the notetaking application provides a user interface for interactive editing.

5. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, wherein the instructions comprise: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; providing the extracted text and salient patterns to a notetaking application; and interactively editing the electronic document incorporating the extracted information.

6. The computer-readable medium of claim 5, wherein the instructions use machine learning algorithms to detect starting conditions for data extraction; process the audio data using natural language processing; and provide the extracted text and salient patterns to a user interface for interactive editing.

7. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-readable medium having stored thereon a set of instructions; 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 provide the extracted text and salient patterns to a user interface for interactive editing.

8. The system of claim 7, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction; the speech recognition module uses natural language processing to process the audio data; the pattern detection module uses machine learning algorithms to identify salient patterns; and the notetaking application provides a user interface for interactive editing.

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 speech recognition and pattern detection modules; providing the extracted text and salient patterns to a notetaking application; and interactively editing the 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; the speech recognition module uses natural language processing to process the audio data; the pattern detection module uses machine learning algorithms to identify salient patterns; and the notetaking application provides a user interface for interactive editing.

11. A computer system for automatically capturing information from audio data and computer operating context, comprising: a computer-readable medium having stored thereon a set of instructions for detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; providing the extracted text and salient patterns to a notetaking application; and interactively editing the electronic document incorporating the extracted information.

12. The computer system of claim 11, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction; the speech recognition module uses natural language processing to process the audio data; the pattern detection module uses machine learning algorithms to identify salient patterns; and the notetaking application provides a user interface for interactive editing.

13. 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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user interface for interactive editing.

14. The system of claim 13, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction; the speech recognition module uses natural language processing to process the audio data; the pattern detection module uses machine learning algorithms to identify salient patterns; and the notetaking application provides a user interface for interactive editing.

15. A computer-readable medium having stored thereon a set of instructions 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 notetaking application; and interactively editing the 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 notetaking application to provide the extracted text and salient patterns to a user interface for interactive editing.

2. The computer system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction; the speech recognition module uses natural language processing to process the audio data; the pattern detection module uses machine learning algorithms to identify salient patterns; and the notetaking application provides a user interface for interactive editing.

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; providing the extracted text and salient patterns to a notetaking application; and interactively editing the electronic document incorporating the extracted information.

4. The method of claim 3, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction; the speech recognition module uses natural language processing to process the audio data; the pattern detection module uses machine learning algorithms to identify salient patterns; and the notetaking application provides a user interface for interactive editing.

5. A computer-readable medium having stored thereon a set of instructions 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 notetaking application; and interactively editing the electronic document incorporating the extracted information.

6. The computer-readable medium of claim 5, wherein the instructions use machine learning algorithms to detect starting conditions for data extraction; process the audio data using natural language processing; and provide the extracted text and salient patterns to a user interface for interactive editing.

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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user interface for interactive editing.

8. The system of claim 7, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction; the speech recognition module uses natural language processing to process the audio data; the pattern detection module uses machine learning algorithms to identify salient patterns; and the notetaking application provides a user interface for interactive editing.

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 speech recognition and pattern detection modules; providing the extracted text and salient patterns to a notetaking application; and interactively editing the 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; the speech recognition module uses natural language processing to process the audio data; the pattern detection module uses machine learning algorithms to identify salient patterns; and the notetaking application provides a user interface for interactive editing.

11. A computer system for automatically capturing information from audio data and computer operating context, comprising: a computer-readable medium having stored thereon a set of instructions for detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; providing the extracted text and salient patterns to a notetaking application; and interactively editing the electronic document incorporating the extracted information.

12. The computer system of claim 11, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction; the speech recognition module uses natural language processing to process the audio data; the pattern detection module uses machine learning algorithms to identify salient patterns; and the notetaking application provides a user interface for interactive editing.

13. 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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user interface for interactive editing.

14. The system of claim 13, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction; the speech recognition module uses natural language processing to process the audio data; the pattern detection module uses machine learning algorithms to identify salient patterns; and the notetaking application provides a user interface for interactive editing.

15. A computer-readable medium having stored thereon a set of instructions 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 notetaking application; and interactively editing the 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 notetaking application to provide the extracted text and salient patterns to a user interface for interactive editing.

2. The computer system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction; the speech recognition module uses natural language processing to process the audio data; the pattern detection module uses machine learning algorithms to identify salient patterns; and the notetaking application provides a user interface for interactive editing.

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; providing the extracted text and salient patterns to a notetaking application; and interactively editing the electronic document incorporating the extracted information.

4. The method of claim 3, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction; the speech recognition module uses natural language processing to process the audio data; the pattern detection module uses machine learning algorithms to identify salient patterns; and the notetaking application provides a user interface for interactive editing.

5. A computer-readable medium having stored thereon a set of instructions 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 notetaking application; and interactively editing the electronic document incorporating the extracted information.

6. The computer-readable medium of claim 5, wherein the instructions use machine learning algorithms to detect starting conditions for data extraction; process the audio data using natural language processing; and provide the extracted text and salient patterns to a user interface for interactive editing.

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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user interface for interactive editing.

8. The system of claim 7, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction; the speech recognition module uses natural language processing to process the audio data; the pattern detection module uses machine learning algorithms to identify salient patterns; and the notetaking application provides a user interface for interactive editing.

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 speech recognition and pattern detection modules; providing the extracted text and salient patterns to a notetaking application; and interactively editing the 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; the speech recognition module uses natural language processing to process the audio data; the pattern detection module uses machine learning algorithms to identify salient patterns; and the notetaking application provides a user interface for interactive editing.

11. A computer system for automatically capturing information from audio data and computer operating context, comprising: a computer-readable medium having stored thereon a set of instructions for detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; providing the extracted text and salient patterns to a notetaking application; and interactively editing the electronic document incorporating the extracted information.

12. The computer system of claim 11, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction; the speech recognition module uses natural language processing to process the audio data; the pattern detection module uses machine learning algorithms to identify salient patterns; and the notetaking application provides a user interface for interactive editing.

13. 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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user interface for interactive editing.

14. The system of claim 13, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction; the speech recognition module uses natural language processing to process the audio data; the pattern detection module uses machine learning algorithms to identify salient patterns; and the notetaking application provides a user interface for interactive editing.

15. A computer-readable medium having stored thereon a set of instructions 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 notetaking application; and interactively editing the 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 notetaking application to provide the extracted text and salient patterns to a user interface for interactive editing.

2. The computer 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 speech recognition and pattern detection modules; providing the extracted text and salient patterns to a notetaking application; and interactively editing the electronic document incorporating the extracted information.

4. The method of claim 3, wherein the speech recognition module uses natural language processing to process the audio data.

5. A computer-readable medium having stored thereon a set of instructions 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 notetaking application; and interactively editing the electronic document incorporating the extracted information.

6. The computer-readable medium of claim 5, wherein the instructions 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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user interface for interactive editing.

8. The system of claim 7, wherein the pattern detection module uses machine learning algorithms to 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 speech recognition and pattern detection modules; providing the extracted text and salient patterns to a notetaking application; and interactively editing the electronic document incorporating the extracted information.

10. The method of claim 9, wherein the notetaking application provides a user interface for interactive editing.

11. A computer system for automatically capturing information from audio data and computer operating context, comprising: a computer-readable medium having stored thereon a set of instructions for detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; providing the extracted text and salient patterns to a notetaking application; and interactively editing the electronic document incorporating the extracted information.

12. The computer system of claim 11, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.

13. 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; a pattern detection module to identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user interface for interactive editing.

14. The system of claim 13, wherein the speech recognition module uses natural language processing to process the audio data.

15. A computer-readable medium having stored thereon a set of instructions 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 notetaking application; and interactively editing the electronic document incorporating the extracted information.

Neumáticos completamente normales por este precio

La goma es súper. En la carretera mojada y bajo la lluvia, se desempeña de manera impresionante. Mi esposa está encantada y yo estoy satisfecho

Relación calidad-precio

Buenas llantas para un crucero

Buena goma. Mantiene el camino en cualquier condición climática.

No lo he probado sobre la nieve y el hielo )))