**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 key phrases and relationships. To ensure the claims are clear, concise, and consistent with the patent draft, we need to identify the key technical features of the invention, including the activity detection module, speech recognition module, and pattern detection module, as well as the relationships between these components.
**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 a pattern detection module to identify key phrases and relationships.
2. The computer system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
3. The computer system of claim 1, further comprising a user interface to display the extracted information and allow users to interact with the extracted data.
4. 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; and identifying key phrases and relationships using a pattern detection module.
5. The method of claim 4, wherein the activity detection module uses natural language processing to detect starting conditions for data extraction based on audio data and computer operating context.
6. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context, wherein the instructions are executed by a computer system comprising an activity detection module, a speech recognition module, and a pattern detection module.
7. The computer-readable medium of claim 6, wherein the instructions are executed by a computer system that uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
8. 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 a pattern detection module to identify key phrases and relationships, wherein the system uses natural language processing and machine learning algorithms to improve the accuracy of data extraction.
9. The computer system of claim 8, further comprising a user interface to display the extracted information and allow users to interact with the extracted data, wherein the user interface is configured to provide a graphical representation of the extracted information.
10. 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; and identifying key phrases and relationships using a pattern detection module, wherein the method uses natural language processing and machine learning algorithms to improve the accuracy of data extraction.
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