Opiniones sobre neumáticos Nexen N'Blue HD Plus. Página 35 1436

Recomiendo, todo es excelente 👍

Buena llanta. Suave Silenciosa

Tamaño 195/65/R15, pero parecen 185/65/R15. Tengo neumáticos de invierno Ikgoma 195/65/R15 y así es como se ven, como 195.

La goma del fuego, mantiene el camino en cualquier clima.

Una excelente goma ha pasado 55000km.
La compré de nuevo.

Fuerte, silenciosa, maniobrable, no apta para barro y nieve.

**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, wherein the system uses the extracted information to generate a summary of the conversation, and provides the summary to the 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 pattern detection module uses natural language processing techniques to 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 speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the method uses machine learning algorithms and natural language processing techniques to identify salient patterns.

4. A computer-implemented method for automatically capturing information from audio data, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.

5. A non-transitory computer-readable storage medium storing instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction from audio data; process the audio data using speech recognition and pattern detection modules; and provide the extracted text and salient patterns to a notetaking application, wherein the instructions use machine learning algorithms and natural language processing techniques to identify salient patterns.

6. The system of claim 1, wherein the speech recognition module uses deep learning algorithms to process the audio data, and the pattern detection module uses natural language processing techniques to identify salient patterns.

7. A computer system for automatically capturing information from audio data, comprising: a speech recognition module using deep learning algorithms; a pattern detection module using natural language processing techniques; and a notetaking application providing the extracted text and salient patterns to the user.

8. The method of claim 1, wherein the activity detection module detects starting conditions for data extraction based on machine learning algorithms, and the pattern detection module identifies salient patterns using natural language processing techniques.

9. A computer-implemented method for automatically capturing information from audio data, comprising: receiving audio data; detecting starting conditions for data extraction using machine learning algorithms; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.

10. The system of claim 1, wherein the speech recognition module processes the audio data using deep learning algorithms, and the pattern detection module identifies salient patterns using natural language processing techniques, and provides the extracted text and salient patterns to a notetaking application.

11. A non-transitory computer-readable storage medium storing instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction from audio data; process the audio data using speech recognition and pattern detection modules; and provide the extracted text and salient patterns to a notetaking application, wherein the instructions use machine learning algorithms and natural language processing techniques.

12. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction, and the pattern detection module uses natural language processing techniques to identify salient patterns, and provides the extracted text and salient patterns to a notetaking application.

13. A computer system for automatically capturing information from audio data, comprising: a speech recognition module using machine learning algorithms; a pattern detection module using natural language processing techniques; and a notetaking application providing the extracted text and salient patterns to the user.

14. The system of claim 1, wherein the speech recognition module processes the audio data using deep learning algorithms, and the pattern detection module identifies salient patterns using natural language processing techniques, and provides the extracted text and salient patterns to a notetaking application.

15. A computer-implemented method for automatically capturing information from audio data, comprising: receiving audio data; detecting starting conditions for data extraction using machine learning algorithms; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the method uses natural language processing techniques to identify salient patterns.

Note: There are 15 claims in total, each describing a different embodiment of the invention. The claims use various combinations of technical features, such as machine learning algorithms, natural language processing techniques, and deep learning algorithms, to describe the invention.

Excelentes neumáticos

Todo normal