We are trying to build an answering machine beep detector on livekit. Do you have any recommendation for how to custom build this using tools that livekit has to offer? It has to work inside a livekit room with an agent and a human talking to each other.

It seems likely that building an answering machine beep detector within a LiveKit room could involve leveraging LiveKit's real-time audio processing capabilities. You might consider using an agent to monitor the audio track for specific beep patterns that indicate an answering machine. According to the LiveKit Agents Overview, agents can be programmed to handle real-time audio data, which could be useful for detecting specific audio signals like beeps. To implement this, you could set up an agent that subscribes to the audio track in the room and processes the audio frames to detect the beep. The LiveKit Python SDK provides tools for handling audio streams, which could be used to analyze the audio data in real-time. You might need to implement a custom audio processing algorithm to identify the beep pattern characteristic of an answering machine. Would you like more detailed guidance on setting up the agent or processing the audio data? Sources: - LiveKit Python SDK - Audio Stream - LiveKit Agents Overview 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.