I'm glad you're exploring how to extract PCM frames from a LiveKit room using the Flutter SDK! There are a few ways to approach this, depending on what you're aiming to achieve: • Using AudioVisualizer: The Flutter SDK comes with an AudioVisualizer feature that works with raw PCM data internally to create audio levels or FFT bands. While it doesn't give direct access to raw PCM frames, it does show that the SDK can handle raw audio data. • Server-Side TrackEgress: If you need full PCM streams, LiveKit’s TrackEgress lets you stream audio tracks to a WebSocket server in raw PCM format. This is a great option for real-time tasks like processing or transcription. • Custom Flutter Plugin: Another path is to customize the Flutter SDK by extending its native code to expose raw audio frames. This involves capturing audio at the platform level and sending it to Dart through platform channels. I'd love to hear more about your specific use case—whether it's transcription, voice activity detection, recording, or something else—so I can help guide you to the best solution. Feel free to share more details! Sources: Universal Egress | shared_cpp/fft_processor.cpp | Track egress | LiveKit Docs | Universal Egress | livekit-agents/livekit/agents/utils/audio.py