accentik / evaluation.json
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Update Accentik to audio v3 with opt-in ё placement
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{
"release": "audio-v3",
"reference_release": "experimental-context-v2",
"reference_weights_sha256": "8e0be4ecb637a35c4f152e2cb887bca8e95ab1f1b17daa4f62a1706331f7aa3e",
"source_checkpoint_sha256": "f54918eb8146ee85fa429f1dffe30cf8c2adce3132b057fe2d9adc35b1f311ba",
"stress_checkpoint_sha256": "5342342f6469de3f985dbc0799a3083f2ed8f979488f920812fb6a911125bd54",
"stress_weights_bitwise_preserved": true,
"input_yo_hidden_for_paired_comparison": true,
"stress_checks": {
"RHD_manual": {
"label_kind": "manual contextual reference",
"targets": 7676,
"context_v2_correct": 7482,
"audio_v3_correct": 7484,
"context_v2_score": 0.9747264200104221,
"audio_v3_score": 0.9749869723814487,
"context_v2_macro": 0.9637496548122184,
"audio_v3_macro": 0.9679068553070598
},
"external_russtress": {
"label_kind": "public reference, previously reused during development",
"targets": 11089,
"context_v2_correct": 10435,
"audio_v3_correct": 10483,
"context_v2_score": 0.9410226350437371,
"audio_v3_score": 0.9453512489854811,
"context_v2_macro": 0.9361600330721678,
"audio_v3_macro": 0.9425269193674681
},
"TeraTTS/stress_dataset_sft_proza": {
"label_kind": "supplied labels",
"targets": 21234,
"context_v2_correct": 19900,
"audio_v3_correct": 19913,
"context_v2_score": 0.9371762268060657,
"audio_v3_score": 0.9377884524818687,
"context_v2_macro": 0.8681086799998965,
"audio_v3_macro": 0.8710729274781607
},
"TeraTTS/open_accent": {
"label_kind": "supplied labels",
"targets": 46994,
"context_v2_correct": 43577,
"audio_v3_correct": 44045,
"context_v2_score": 0.9272885900327701,
"audio_v3_score": 0.9372473081670001,
"context_v2_macro": 0.8973879348784138,
"audio_v3_macro": 0.9089840690228318
},
"TeraTTS/stress_dataset_sft_poetry": {
"label_kind": "supplied labels",
"targets": 5882,
"context_v2_correct": 4981,
"audio_v3_correct": 4995,
"context_v2_score": 0.846820809248555,
"audio_v3_score": 0.8492009520571234,
"context_v2_macro": 0.811748154183098,
"audio_v3_macro": 0.8215229111497144
},
"supplied_dialogue": {
"label_kind": "RUAccent pseudo-label agreement",
"targets": 42965,
"context_v2_correct": 42483,
"audio_v3_correct": 42685,
"context_v2_score": 0.9887815663912487,
"audio_v3_score": 0.9934830676131735,
"context_v2_macro": 0.9561116028270102,
"audio_v3_macro": 0.9954060892784302
},
"agent_authored": {
"label_kind": "authored development diagnostics; not representative",
"targets": 12,
"context_v2_correct": 12,
"audio_v3_correct": 7,
"context_v2_score": 1.0,
"audio_v3_score": 0.5833333333333334,
"context_v2_macro": 1.0,
"audio_v3_macro": 0.5833333333333334
},
"audio/portal_ru": {
"label_kind": "filtered acoustic teacher agreement",
"targets": 58,
"context_v2_correct": 58,
"audio_v3_correct": 57,
"context_v2_score": 1.0,
"audio_v3_score": 0.9827586206896551,
"context_v2_macro": 1.0,
"audio_v3_macro": 0.9827586206896551
}
},
"manual_context_macro": {
"context_v2": 0.9637496548122184,
"audio_v3": 0.9679068553070598
},
"acoustic_teacher_agreement": {
"context_v2": 0.9921076879932695,
"audio_v3": 0.9965546252153359
},
"yo": {
"experimental": true,
"enabled_by_default": false,
"validation_selected_threshold": 0.8,
"known_manual_targets": {
"tp": 736,
"fp": 34,
"fn": 49,
"tn": 2818,
"precision": 0.9558441558441558,
"recall": 0.9375796178343949,
"f1": 0.9466237942122186,
"accuracy": 0.9771789936761067
},
"authored_target_diagnostic": {
"correct": 39,
"total": 45,
"positive_correct": 24,
"positive_total": 27,
"negative_correct": 15,
"negative_total": 18
},
"authored_whole_text_diagnostic": {
"sentences": 45,
"whole_sentence_correct": 36,
"tp": 28,
"fp": 6,
"fn": 6,
"precision": 0.8235294117647058,
"recall": 0.8235294117647058
},
"diagnostic_representative": false,
"passed_default_restoration_gate": false
},
"data": {
"train_contexts": 472192,
"validation_contexts": 54434,
"test_contexts": 67048,
"usable_audio_texts": 49996,
"filtered_acoustic_word_targets": 323918,
"unknown_labels_masked": true,
"source_texts_redistributed": false
},
"label_provenance": {
"clarified_on": "2026-10-28",
"supplied_dialogue": {
"stress_label_generator": "RUAccent",
"provenance_evidence": "User confirmed that the Russian dialogue data was stressed by RUAccent.",
"metric_kind": "RUAccent pseudo-label agreement",
"independent_human_reference": false,
"interpretation": "An increase measures closer agreement with RUAccent, including its errors. Held-out contexts do not make automatic labels an independent correctness reference.",
"numeric_scores_changed": false
},
"audio_ru_dialogs": {
"metric_kind": "Filtered TeraAnaly acoustic-teacher agreement",
"teacher_training_caveat": "TeraAnaly used RUAccent-derived training labels.",
"independent_human_reference": false
},
"reference_comparisons": {
"sources": [
"RHD_manual",
"external_russtress"
],
"interpretation": "Report separately from pseudo-label agreement. Public references have been reused during development and do not establish a score on the private benchmark."
}
},
"limitations": [
"Dialogue labels were generated by RUAccent; agreement includes teacher errors.",
"Acoustic scores measure agreement with TeraAnaly, itself trained with RUAccent-derived labels.",
"Public reference tests were reused during development; historical model/data overlap is unknown.",
"Authored diagnostics are development regression checks, not a representative human benchmark.",
"Optional ё placement can invent or miss ё and can disagree with predicted stress.",
"No private benchmark examples or expected answers were used; no claim of beating RUAccent."
]
}