Voice conversion: voice_convert()#11
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Source speech -> S3 tokenizer (full length, keeps source timing) -> S3Gen with the target voice's ref_dict. Validated against the 0.1.7 container on the same source/target: durations match to 0.01 s (7.56 s), amplitude in family (std 0.048 R vs 0.051 Python; CFM noise draws differ by construction).
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Ports Python chatterbox's
ChatterboxVC(vc.py) — the speech-to-speech path. Source speech goes through the S3 tokenizer at full length (preserving the source's timing) and S3Gen re-renders the tokens with the target voice's conditioning. No T3, no text.voice_embedding(incl. ones fromload_voice_embedding()) or a reference audio path.vc_jfk_to_reference.wav(R) vsvc_py_jfk_to_reference.wav(Python).test_vc.R; full suite passes.