freya-tts-mlx-eval / protocol.json
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Publish Freya MLX 0.1.1 paired evaluation (3/3)
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{
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"dataset_sha256": "e33e7555b6ca90a630ae32c80526bc3f0722450eea43bc53b1116e5261efbdd3",
"attribution": "Freya-TR-Eval, freyavoice; Pamuk et al. 2026; CC-BY-4.0; see source/README.md",
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"steps": 32,
"dtype": "float32",
"seed": 9,
"sample_rate": 48000,
"gap_samples": 5760,
"torch_threads": 4,
"backend_order": [
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],
"frontend": "Independent original pipeline.py AST pure functions and _clauses; max_words=11; release default reference profile",
"duration": "max(8,n_chars+4,min(300,round(exp(logT))))",
"voiced_check": false,
"fallback": false,
"mlx_kv_reuse": true,
"cache_limit": 268435456,
"reference": "FreyaTTS@146d36c1cb6660646be57d31339db4eed9315de3 original model.sample; voxcpm==2.0.3 original AudioVAEV2 loaded from original-name NPZ tensors",
"screens": {
"latent_relL2": 0.001,
"waveform_SNR_dB": 60,
"exact": [
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"T",
"shapes",
"samplecounts"
],
"finite": true,
"silence_RMS": 0.0001,
"clipping": "abs(sample)>1"
},
"asr": {
"checkpoint": "mlx-community/whisper-large-v3-turbo",
"revision": "a4aaeec0636e6fef84abdcbe3544cb2bf7e9f6fb",
"language": "tr",
"temperature": 0,
"beam_size": null,
"best_of": null,
"condition_on_previous_text": false,
"bandmatch": "scipy resample_poly 48000->8000->16000",
"dedup": "Only identical PCM SHA256 and identical settings; reuse exact hypothesis",
"lexical_primary": "spoken normalized target",
"secondary": "original dataset text",
"normalization": "Turkish I->ı İ->i then lower; replace non-letter/non-digit with space; collapse whitespace",
"semantic_WER": "not measured: no frozen defensible local judge",
"naturalness": "not measured"
},
"bootstrap": {
"seed": 9,
"replicates": 2000,
"unit": "paired sentence"
},
"policy": "One sequential sweep each; first three are scored preflight; at most one harness repair; no tuning, no favorable rerolls; preserve errors; not publisher WER replication"
}