aufklarer / Supertonic-3-CoreML-FP16

huggingface.co
Total runs: 141
24-hour runs: 4
7-day runs: -70
30-day runs: -350
Model's Last Updated: June 25 2026
text-to-speech

Introduction of Supertonic-3-CoreML-FP16

Model Details of Supertonic-3-CoreML-FP16

SupertonicTTS-3 — CoreML FP16 (Apple Neural Engine)

Mixed-precision CoreML export of Supertonic-3's four non-autoregressive flow-matching graphs, tuned for Apple Neural Engine residency on iOS 18+ / macOS 15+. The precision split was chosen by measured end-to-end SNR — flow-matching is an ODE and its trajectory is precision-sensitive, so the graphs that drive it stay FP32:

  • TextEncoder + VectorEstimator FP32 (drive the ODE trajectory; the vector-estimator is ANE-ineligible regardless of precision).
  • Vocoder + DurationPredictor FP16 (the vocoder is single-shot and the 100%-ANE win).

Controlled shared-noise A/B vs the FP32 reference: mag-STFT SNR 47–51 dB (en/de/ko), max|Δ| 6e-3 — transparent. Full-FP16-everything instead drops to ~24 dB through ODE trajectory divergence (not degradation) — this mixed split keeps measurable fidelity while still putting the vocoder on the ANE. ** 189 MB** vs ~380 MB for FP32.

This repo is self-contained: the four .mlpackage graphs + the G2P-free tokenizer assets ( tts.json , unicode_indexer.json ) + voice_styles/ . The host runs the flow-matching ODE loop ( vector_estimator × total_step ); the graphs contain no control flow.

Parity reference / FP32: aufklarer/Supertonic-3-CoreML .

Other Supertonic-3 formats
Attribution & license

Derivative of Supertone/supertonic-3 (commit 3cadd1ee6394adea1bd021217a0e650ede09a323 ), Supertone Inc., arXiv:2503.23108 OpenRAIL-M (use-based restrictions carry over: no non-consensual impersonation/deepfakes, etc.).

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Runs of aufklarer Supertonic-3-CoreML-FP16 on huggingface.co

141
Total runs
4
24-hour runs
-13
3-day runs
-70
7-day runs
-350
30-day runs

More Information About Supertonic-3-CoreML-FP16 huggingface.co Model

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Supertonic-3-CoreML-FP16 install

Supertonic-3-CoreML-FP16 is an open source model from GitHub that offers a free installation service, and any user can find Supertonic-3-CoreML-FP16 on GitHub to install. At the same time, huggingface.co provides the effect of Supertonic-3-CoreML-FP16 install, users can directly use Supertonic-3-CoreML-FP16 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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