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@@ -40,9 +40,13 @@ correctly β€” phone numbers, emails, addresses, prices, dates, temperatures, %,
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  | Held-out CER | **0.059** (zh/mix/en, 3-voice avg) | 0.11–0.15 (zh) |
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  | Best on | Jetson Nano **GPU** (also any CPU) | pure **CPU** β€” Nano **RTF 0.35** (8 kHz, 1 thread) |
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- Pick **v2.1** for the best quality and multiple voices; pick **v1** when the budget is CPU-only and tight.
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- (`v2_mbistft_16k/` is v2.1's single-voice "Xinran" predecessor β€” same architecture, one speaker; kept for
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- reference. `v3_4.6M/` and the top-level `*.onnx` are legacy 24 kHz variants.)
 
 
 
 
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  > πŸ”Š **Live demo:** https://huggingface.co/spaces/Luigi/PrimeTTS-vs-Inflect-Nano-v1 β€” pick a model, pick a voice, type text.
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  | Held-out CER | **0.059** (zh/mix/en, 3-voice avg) | 0.11–0.15 (zh) |
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  | Best on | Jetson Nano **GPU** (also any CPU) | pure **CPU** β€” Nano **RTF 0.35** (8 kHz, 1 thread) |
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+ Pick **v2.1** for multiple voices; pick **v1** when the budget is CPU-only and tight.
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+
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+ > **Also: `v2_mbistft_16k/` β€” PrimeTTS v2, the peak-fidelity single Xinran voice.** Same architecture as v2.1
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+ > (one speaker) but trained on the *full* clean 29k Xinran corpus, so its Xinran is the most intelligible in
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+ > the family β€” **CER 0.027** vs v2.1's 0.059 β€” at the **same** on-device RTF (0.52 @4thr). Use v2 when you only
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+ > need Xinran and want the cleanest possible output; use v2.1 when you want a choice of voice.
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+ > (`v3_4.6M/` and the top-level `*.onnx` are legacy 24 kHz variants, kept for provenance.)
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  > πŸ”Š **Live demo:** https://huggingface.co/spaces/Luigi/PrimeTTS-vs-Inflect-Nano-v1 β€” pick a model, pick a voice, type text.
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