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
549 KiB
549 KiB