Edits emotion on an existing recording in place (same speaker, words,
duration) rather than steering style at generation time. Demo runs
"Change the emotion to excited." on the public-domain narrator clip
already used by whisperx/tts.
Found and documented three real environment/packaging gaps on the RTX
3090: a missing audioread dependency, a huggingface_hub/transformers
version conflict from installing the hf CLI, and --cpu_offload being
mandatory (not optional) since AuK's own undoffloaded VRAM figures
exceed 24GB entirely. Also found the practical input-length ceiling is
~25-30s, not the several minutes a podcast episode would need — an 80s
clip OOM'd on attention memory even with offload enabled.
Co-Authored-By: Claude Sonnet 5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01Y1oQ4h4WE4R9KRvMQLr5Ey
Two-stem separation (vocals/instrumental) run on RTX 3090 against the
shared sample clip. Isolated vocals.wav is meant as the clean voice
reference for a future voice-cloning TTS step.
Co-Authored-By: Claude Sonnet 5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01Y1oQ4h4WE4R9KRvMQLr5Ey
steve-adminandClaude Sonnet 5
claude-code-pxmx