Capture Audio from the Two-Way Radio:

Use a sound card interface to capture analog audio from the two-way radio.
You can achieve this using libraries like sounddevice (which unfortunately isn’t available in this environment, but you can install it locally).

Process Captured Audio:

Implement audio processing to improve quality (e.g., noise reduction, filtering).
You can use existing audio processing libraries or write custom code.

Convert Audio to Text:

Use a speech-to-text library or API to convert the captured audio to text.
For demonstration purposes, let’s assume the detected text is “This is a test sentence.”

Check for AI Callsign:

Compare the detected text with the AI’s callsign (e.g., “AI123”).
If the callsign is present, proceed to generate an answer.

Generate an Answer:

Based on the detected text, create an appropriate response (e.g., “Yes, I’m here. How can I assist you?”).
You can use predefined answers or implement more complex logic.

Convert Answer to Audio:

Use a text-to-speech library or API to generate audio from the answer text.
For demonstration, we’ll simulate this with random noise (replace with actual TTS output).

Inject Answer Audio into the Two-Way Radio:

Simulate injecting the answer audio into the two-way radio (you’ll need to replace this with your actual hardware interface).
Ensure that the audio levels match the radio’s input requirements.

Run the Program on Windows:

Write your program in a language like Python, C++, or C#.
Ensure it runs on Windows by handling any platform-specific dependencies.