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Voice conditionals (s3tokenizer + voice encoder + mel embeddings) are expensive to compute but depend only on the reference audio, not the text. Previously they ran on every synthesis chunk — 3x wasted work for a 3-chunk request. Now computed once at startup and reused. Also wrap generate() in torch.amp.autocast(float16) for ~2x speedup on all model computation (T3 LLM, S3Gen CFM, HiFiGAN vocoder). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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