**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 provides the extracted information to a note-taking application. 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 transcribe audio data into text; and a pattern recognition module to identify salient information from the transcribed text.
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. 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; transcribing audio data into text using a speech recognition module; and identifying salient information from the transcribed text using a pattern recognition module.
4. The method of claim 3, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context, including machine learning algorithms and natural language processing techniques.
5. A computer-readable medium storing a program of instructions that, when executed by a computer, causes the computer to automatically capture information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; transcribing audio data into text; and identifying salient information from the transcribed text.
6. The computer-readable medium of claim 5, wherein the program of instructions uses deep learning algorithms to detect starting conditions for data extraction and natural language processing techniques to identify salient information.
7. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; and a pattern recognition module, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context.
8. The system of claim 7, wherein the speech recognition module uses recurrent neural networks to transcribe audio data into text, and the pattern recognition module uses machine learning algorithms to identify salient information from the transcribed text.
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; transcribing audio data into text using a speech recognition module; and identifying salient information from the transcribed text using a pattern recognition module, wherein the activity detection module detects starting conditions for data extraction based on audio data and computer operating context.
10. The method of claim 9, wherein the pattern recognition module uses natural language processing techniques to identify salient information from the transcribed text, including named entity recognition, sentiment analysis, and topic modeling.
