**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 note-taking application, which allows users to interactively edit a digital document incorporating the extracted information.
**Claims**:
1. 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 and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application, wherein the note-taking application allows users to interactively edit a digital document incorporating the extracted information.
2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context, including user activity, location, and time of day.
3. A computer system for automatically capturing information from audio data and computer operating context, the system comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data to identify spoken words and phrases; and a pattern detection module for identifying salient patterns in the extracted text, wherein the system provides the extracted text and salient patterns to a note-taking application.
4. The system of claim 3, wherein the activity detection module uses natural language processing to detect starting conditions based on spoken words and phrases, and provides the extracted text and salient patterns to a note-taking application for editing a digital document.
5. A computer-implemented method for automatically capturing information from audio data and computer operating context, the method comprising: 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 note-taking application, wherein the application allows users to interactively edit a digital document incorporating the extracted information.
6. The method of claim 5, wherein the speech recognition module uses deep learning algorithms to process audio data and identify spoken words and phrases, and provides the extracted text and salient patterns to a note-taking application for editing a digital document.
7. A computer system for automatically capturing information from audio data and computer operating context, the system comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data to identify spoken words and phrases; and a pattern detection module for identifying salient patterns in the extracted text, wherein the system provides the extracted text and salient patterns to a note-taking application.
8. The system of claim 7, wherein the activity detection module uses natural language processing to detect starting conditions based on audio data and computer operating context, and provides the extracted text and salient patterns to a note-taking application for editing a digital document.
9. A computer-implemented method for automatically capturing information from audio data and computer operating context, the method comprising: 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 note-taking application, wherein the application allows users to interactively edit a digital document incorporating the extracted information.
10. The method of claim 9, wherein the speech recognition module uses deep learning algorithms to process audio data and identify spoken words and phrases, and provides the extracted text and salient patterns to a note-taking application for editing a digital document.
**Claims**:
1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.
2. The method 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. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data to identify spoken words and phrases; and a pattern detection module for identifying salient patterns in the extracted text.
4. The system of claim 3, wherein the speech recognition module uses deep learning algorithms to process audio data and identify spoken words and phrases.
5. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using natural language processing; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application for editing a digital document.
6. The method of claim 5, wherein the activity detection module uses natural language processing to detect starting conditions based on audio data and computer operating context.
7. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data to identify spoken words and phrases; and a pattern detection module for identifying salient patterns in the extracted text, wherein the system provides the extracted text and salient patterns to a note-taking application.
8. The system of claim 7, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
9. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: 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 note-taking application, wherein the application allows users to interactively edit a digital document incorporating the extracted information.
10. The method of claim 9, wherein the speech recognition module uses deep learning algorithms to process audio data and identify spoken words and phrases.
