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
vocals.mp3 (narrator only) and no_vocals.mp3 (background/instrumental
only), 128kbps MP3, so both are viewable/playable directly in Gitea
without needing local playback or GPU-box access.
Co-Authored-By: Claude Sonnet 5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01Y1oQ4h4WE4R9KRvMQLr5Ey
Replaces the 418 MB 1080p source video with a 27 MB 480p derivative and
adds the audio track extracted losslessly from it (AAC stream copy, no
re-encode), which is what the whisperx/demucs/tts demos actually consume.
The full-size source is now gitignored and kept locally only, matching
the existing convention of excluding large binaries from the repo.
Co-Authored-By: Claude Opus 5 <[email protected]>
steve-adminandClaude Sonnet 5