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audioduration (s)
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mytts English TTS: Tier-1 ablations

Archive: screening runs, not the released model. This repository keeps the ablation runs that chose the recipe of the main model: small models trained on a subset of the data, each technique compared with two baseline seeds. It is the record of those decisions; the checkpoints here are experiments.

Screening runs of the English roadmap in kadirnar/dacvae-next (branch roadmap/en-echo, protocol EN-E1): every technique is trained with the small model (80 M, 30k steps, 12k frames per step) on the Tier-1 subset en_t1 of SynDataLab-EN/echo-clones-4m-en (strided shards of both generation runs, ~100 h, 236 voices held out), and scored on the two decision sets:

  • echo_dev: 500 sentences voiced by held-out echo voices x prompt draws d0 + d1 (in-domain; SIM there is in-distribution);
  • seed_dev: the frozen dev half of Seed-TTS test-en (Common Voice prompts, ~545 cases) x sampling seeds 0 + 1 (real voices).

Protocol: 32 Euler steps + sway, joint CFG w 4, initial noise 0.9, -16 LUFS, duration by the band rule (no oracle lengths); ASR openai/whisper-large-v3 (greedy, English, repetition-loop guard) with the frozen en-v2 normalization (fillers, apostrophes, spelling variants); corpus WER/CER; SIM-o = WavLM-large + ECAPA-TDNN cosine to the prompt (the Seed-TTS-eval / F5-TTS scorer); UTMOS22 strong. Seed-TTS-eval and LibriSpeech-PC numbers comparable with papers are milestone-only (scripts/recipes/en_final_eval.sh), never decision numbers.

Decision rule (EN-E1). A technique is adopted only when its paired corpus-WER gain excludes 0 against BOTH baseline seeds (en-t1-base, en-t1-base-s2) on echo_dev or seed_dev, it is significantly worse than neither seed on the other set, SIM-o drops by at most 0.01 and UTMOS by no more than the seeds' own spread (the Turkish seeds differed by 1.5 WER points). Brackets are 95 % CIs of the corpus-WER difference (points) from a paired bootstrap over sentences (echo) or prompt-connected components (Seed).

Results

run eval step WER CER word errors SIM UTMOS ΔWER vs en-t1-base ΔWER vs en-t1-base-s2 changes vs baseline
en-t1-base echo_dev 30000 1.96% 1.36% 85/4344 0.631 2.68 - -0.55 [-1.36, +0.17] (reference)
en-t1-base seed_dev 30000 5.96% 2.73% 713/11968 0.393 2.58 - +0.12 [-0.53, +0.77] (reference)
en-t1-base-s2 echo_dev 30000 2.51% 1.66% 109/4344 0.630 2.70 +0.55 [-0.17, +1.36] - train.seed=2
en-t1-base-s2 seed_dev 30000 5.84% 2.61% 699/11968 0.392 2.62 -0.12 [-0.77, +0.53] - train.seed=2
en25-hubl18 echo_dev 30000 2.03% 1.41% 88/4344 0.607 2.59 +0.07 [-0.55, +0.66] -0.48 [-1.30, +0.20] data.data_root=/workspace/data/tts_en_hubl18
en25-hubl18 seed_dev 30000 5.49% 2.59% 657/11968 0.369 2.54 -0.47 [-1.12, +0.15] -0.35 [-0.98, +0.28] data.data_root=/workspace/data/tts_en_hubl18
en25-hubl24 echo_dev 30000 1.68% 1.10% 73/4344 0.617 2.59 -0.28 [-0.96, +0.40] -0.83 [-1.58, -0.07] data.data_root=/workspace/data/tts_en_hubl24
en25-hubl24 seed_dev 30000 5.37% 2.26% 643/11968 0.381 2.45 -0.58 [-1.23, +0.01] -0.47 [-1.13, +0.14] data.data_root=/workspace/data/tts_en_hubl24
en25-hubl24fp32 echo_dev 30000 1.75% 1.12% 76/4344 0.614 2.55 -0.21 [-0.79, +0.37] -0.76 [-1.49, -0.09] data.data_root=/workspace/data/tts_en_hubl24_fp32
en25-hubl24fp32 seed_dev 30000 5.82% 2.60% 696/11968 0.394 2.34 -0.14 [-0.77, +0.46] -0.03 [-0.73, +0.63] data.data_root=/workspace/data/tts_en_hubl24_fp32
en29-fixed echo_dev 30000 1.73% 1.15% 75/4344 0.639 2.76 -0.23 [-0.90, +0.44] -0.78 [-1.57, -0.07] data.cross_plan=True, data.prompt_crop=True, data.prompt_picker=exact
en29-fixed seed_dev 30000 5.21% 2.19% 624/11968 0.392 2.65 -0.74 [-1.35, -0.17] -0.63 [-1.26, -0.02] data.cross_plan=True, data.prompt_crop=True, data.prompt_picker=exact
en29-fixed-pc06 echo_dev 30000 1.06% 0.68% 46/4344 0.652 2.71 -0.90 [-1.41, -0.42] -1.45 [-2.18, -0.78] data.cross_plan=True, data.p_cross=0.6, data.prompt_crop=True, data.prompt_picker=exact
en29-fixed-pc06 seed_dev 30000 6.30% 2.85% 754/11968 0.424 2.63 +0.34 [-0.29, +0.95] +0.46 [-0.20, +1.03] data.cross_plan=True, data.p_cross=0.6, data.prompt_crop=True, data.prompt_picker=exact
en29-fixed-pc06-tf04 echo_dev 30000 1.24% 0.74% 54/4344 0.649 2.76 -0.71 [-1.28, -0.18] -1.27 [-1.98, -0.62] data.cross_plan=True, data.p_cross=0.6, data.p_drop_prompt_text=0.4, data.prompt_crop=True, data.prompt_picker=exact
en29-fixed-pc06-tf04 seed_dev 30000 5.97% 2.71% 714/11968 0.407 2.58 +0.01 [-0.61, +0.57] +0.13 [-0.49, +0.70] data.cross_plan=True, data.p_cross=0.6, data.p_drop_prompt_text=0.4, data.prompt_crop=True, data.prompt_picker=exact
en55-pc06-t06 echo_dev 30000 2.14% 1.45% 93/4344 0.687 3.09 +0.18 [-0.50, +0.85] -0.37 [-1.21, +0.40] data.cross_plan=True, data.p_cross=0.6, data.prompt_crop=True, data.prompt_picker=exact, flow.t_mean=-0.6, flow.t_std=0.9
en55-pc06-t06 seed_dev 30000 6.56% 2.99% 785/11968 0.449 2.99 +0.60 [-0.04, +1.22] +0.72 [+0.02, +1.38] data.cross_plan=True, data.p_cross=0.6, data.prompt_crop=True, data.prompt_picker=exact, flow.t_mean=-0.6, flow.t_std=0.9
en55-pc06-t08 echo_dev 30000 1.68% 1.09% 73/4344 0.681 3.04 -0.28 [-1.01, +0.44] -0.83 [-1.70, -0.05] data.cross_plan=True, data.p_cross=0.6, data.prompt_crop=True, data.prompt_picker=exact, flow.t_mean=-0.8
en55-pc06-t08 seed_dev 30000 5.30% 2.31% 634/11968 0.440 2.94 -0.66 [-1.40, -0.01] -0.54 [-1.23, +0.14] data.cross_plan=True, data.p_cross=0.6, data.prompt_crop=True, data.prompt_picker=exact, flow.t_mean=-0.8
en55-pc06-t10 echo_dev 30000 2.07% 1.45% 90/4344 0.663 2.95 +0.12 [-0.53, +0.75] -0.44 [-1.17, +0.27] data.cross_plan=True, data.p_cross=0.6, data.prompt_crop=True, data.prompt_picker=exact, flow.t_mean=-1.0
en55-pc06-t10 seed_dev 30000 5.21% 2.30% 624/11968 0.413 2.79 -0.74 [-1.40, -0.15] -0.63 [-1.28, +0.01] data.cross_plan=True, data.p_cross=0.6, data.prompt_crop=True, data.prompt_picker=exact, flow.t_mean=-1.0
en55-repafade echo_dev 30000 3.15% 2.06% 137/4344 0.628 2.70 +1.20 [+0.48, +1.92] +0.64 [-0.18, +1.44] train.repa_fade_steps=3000, train.repa_until_step=18000
en55-repafade seed_dev 30000 7.28% 3.53% 871/11968 0.398 2.51 +1.32 [+0.60, +2.00] +1.44 [+0.73, +2.11] train.repa_fade_steps=3000, train.repa_until_step=18000
en55-t06 echo_dev 30000 3.34% 2.27% 145/4344 0.676 3.09 +1.38 [+0.73, +2.03] +0.83 [-0.09, +1.60] flow.t_mean=-0.6, flow.t_std=0.9
en55-t06 seed_dev 30000 8.01% 3.87% 959/11968 0.448 2.96 +2.06 [+1.36, +2.71] +2.17 [+1.40, +2.92] flow.t_mean=-0.6, flow.t_std=0.9
en55-t08 echo_dev 30000 3.38% 2.43% 147/4344 0.662 2.93 +1.43 [+0.51, +2.35] +0.87 [+0.00, +1.79] flow.t_mean=-0.8
en55-t08 seed_dev 30000 8.01% 3.79% 959/11968 0.435 2.78 +2.06 [+1.34, +2.74] +2.17 [+1.42, +2.89] flow.t_mean=-0.8

Decisions (EN-E1)

run verdict WER gain vs both seeds on worse than a seed on guard failures
en-t1-base no significant gain (provisional: baselines en-t1-base-s2) - - -
en-t1-base-s2 no significant gain (provisional: baselines en-t1-base) - - -
en25-hubl18 no significant gain - - SIM-o on echo_dev (-0.024, -0.022); SIM-o on seed_dev (-0.024, -0.023); UTMOS on echo_dev (2.59 vs seed mean 2.69, spread 0.02); UTMOS on seed_dev (2.54 vs seed mean 2.60, spread 0.04)
en25-hubl24 no significant gain - - SIM-o on echo_dev (-0.014, -0.013); SIM-o on seed_dev (-0.011, -0.010); UTMOS on echo_dev (2.59 vs seed mean 2.69, spread 0.02); UTMOS on seed_dev (2.45 vs seed mean 2.60, spread 0.04)
en25-hubl24fp32 no significant gain - - SIM-o on echo_dev (-0.017, -0.016); UTMOS on echo_dev (2.55 vs seed mean 2.69, spread 0.02); UTMOS on seed_dev (2.34 vs seed mean 2.60, spread 0.04)
en29-fixed adopt seed_dev - -
en29-fixed-pc06 adopt echo_dev - -
en29-fixed-pc06-tf04 adopt echo_dev - -
en55-pc06-t06 worse on seed_dev - seed_dev -
en55-pc06-t08 no significant gain - - -
en55-pc06-t10 no significant gain - - -
en55-repafade worse on echo_dev, seed_dev - echo_dev, seed_dev UTMOS on seed_dev (2.51 vs seed mean 2.60, spread 0.04)
en55-t06 worse on echo_dev, seed_dev - echo_dev, seed_dev -
en55-t08 worse on echo_dev, seed_dev - echo_dev, seed_dev -
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