Record the raw material for a voice model that sounds like you talking, not like you reading. Takes are saved losslessly to a folder on this machine; the model is trained and run on this machine too. Only record, and only clone, your own voice.
Same microphone, same distance (about a hand's width), same room, every session. Close the door, turn off fans. Sessions of 30–45 minutes, water nearby. Aim for loud syllables around −10 dBFS on the meter, never red.
Pick a folder (e.g. ~/voice-clone/studio) and every take is written there as it is recorded.
One command on an Apple-silicon Mac, pointed at a folder of recordings of you talking — the takes above, old screencasts, voice memos; audio or video, sub-folders included:
cd tools/voice-studio/server
./setup.sh # once
conda activate voxcpm
python make_voice.py ~/Recordings/me --name me # → me.voice.zip
It skips files without audio, other people's voices and
already-respoken audio, transcribes, trains (about 20–30 minutes per hour of speech), keeps the best
checkpoint and writes me.voice.zip — your voice, versioned and checksummed. Keep it like a
password. Then run python voice_server.py and, in the Video Compressor, choose
Voice → My voice profile → Load a .voice.zip…