Sure thing! Let’s split the audio into a Fast Fourier Transform to get the frequency spectrum. Then map each bin to a pixel intensity, and use that intensity to trigger a MIDI note or a step in your sequencer. Here’s a quick Python skeleton using numpy and mido: ``` import numpy as np import mido import soundfile as sf audio, sr = sf.read('input.wav') fft_size = 1024 hop_size = 512 mid = mido.MidiFile() track = mido.MidiTrack() mid.tracks.append(track) for i in range(0, len(audio)-fft_size, hop_size): segment = audio[i:i+fft_size] spectrum = np.abs(np.fft.rfft(segment)) avg_intensity = np.mean(spectrum) # Simple mapping: louder segment = higher velocity velocity = int(np.clip(avg_intensity / 1000, 0, 127)) note = int(60 + (i // hop_size) % 12) # cycle through a scale track.append(mido.Message('note_on', note=note, velocity=velocity, time=0)) track.append(mido.Message('note_off', note=note, velocity=0, time=hop_size)) mid.save('output.mid') ``` Adjust the scaling and note mapping to fit the vibe you’re going for. Let me know if you hit any hiccups!