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Alania-2 production row: best of 11 voices (12 Oct 2026, alania-v2.1)

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Re-ran Alania-2 through the production API for all 11 built-in voices with the same harness and scoring; the row shows the best voice per column (WER/CER: Öncel, clean/UTMOS: Lina), named, with a footnote. Adds those two voices' per-clip scores.

README.md CHANGED
@@ -23,7 +23,7 @@ an 8 kHz band, faster-whisper large-v3 at beam 5, and EMA's `score_norm`. Speed
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  **Charts, leaderboard and audio samples:** https://speech.patientdesk.ai/en/benchmarks (Turkish: https://speech.patientdesk.ai/benchmarks)
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- Run on 7 October 2026 by PatientDesk AI. Alania-2 and Alania-1 are our commercial models; Antalia-1 is our open-weights release.
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  ## Results
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@@ -31,13 +31,13 @@ Run on 7 October 2026 by PatientDesk AI. Alania-2 and Alania-1 are our commercia
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  |---|---|---|---|---|---|---|---|---|
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  | 1 | EMA Lightning (plain PyTorch) | 8.6M | 1.04 ± 0.17 | 0.22 | 93.7% | 3.30 | 0.017 | ours |
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  | 2 | EMA Lightning (compiled) | 8.6M | 1.04 ± 0.17 | 0.22 | 93.7% | 3.30 | 0.0030 | ours |
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- | 3 | **Antalia-2 Mini** (open weights, default settings) | 7.62M | 1.05 ± 0.07 | 0.20 | 93.1% | 3.25 | 0.043 | ours |
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- | 4 | Trendyol-TTS (cfg 2.0, 16 steps) | 2.38B | 1.16 ± 0.16 | 0.23 | 93.1% | 3.82 | 0.962 | ours |
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- | 5 | Gemini 3.8 Flash TTS (voice Kore) | – | 1.23 ± 0.10 | 0.29 | 92.9% | 3.53 | – | ours |
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- | 6 | Gemini 3.8 Flash-Lite TTS (voice Kore) | – | 1.34 ± 0.19 | 0.27 | 91.9% | 3.63 | – | ours |
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- | 7 | Anka TTS (built-in male voice) | 336M | 1.42 ± 0.06 | 0.30 | 91.6% | 3.52 | 0.322 | ours |
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- | 8 | ElevenLabs v4 (voice George) | – | 1.43 ± 0.12 | 0.27 | – | – | – | quoted: EMA Lightning card |
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- | 9 | **Alania-2** (production API, voice F1) | 488M | 1.44 ± 0.15 | 0.28 | 91.7% | 3.67 | – | ours |
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  | 10 | **Alania-2** (model only, no serving checks) | 488M | 1.51 ± 0.19 | 0.30 | 91.8% | 3.66 | 0.151 | ours |
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  | 11 | ElevenLabs v4 Turbo (voice George) | – | 1.54 ± 0.22 | 0.29 | – | – | – | quoted: EMA Lightning card |
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  | 12 | Chatterbox Multilingual (Anka male reference) | 500M | 1.91 ± 0.35 | 0.43 | 88.8% | 3.51 | 2.892 | ours |
@@ -50,10 +50,14 @@ Run on 7 October 2026 by PatientDesk AI. Alania-2 and Alania-1 are our commercia
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  | 19 | FreyaTTS-small (default voice) | 183M | 12.02 ± 0.00 | 4.95 | 47.1% | 2.81 | 0.286 | ours |
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  | 20 | F5-TTS base (no Turkish training) | 336M | 77.84 ± 0.13 | 32.58 | – | – | – | quoted: Anka TTS card |
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  WER/CER: corpus level per take after `score_norm`, mean ± sample standard deviation over three takes. Clean: share of sentences
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  with no word error. UTMOS: UTMOS22 strong on full-band audio (English-trained; a rough guide only). RTF: generation time / audio
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  length on one NVIDIA L4, middle of three passes after a warm-up; API rows have none. Alania-1's RTF (2.49 on the L4, model only)
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- was measured on the first 100 sentences. Chatterbox Multilingual slowed down from pass to pass (RTF 1.69, 2.89, 4.21) with no change in output length; as for every system, the middle pass is reported. Rows marked *quoted* were not run by us.
 
 
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  ## What is in this repo
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@@ -79,7 +83,7 @@ the sentences are fetched from the Hub.
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  | System | Install | Run |
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  |---|---|---|
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  | EMA Lightning 1.0.1 | `pip install ema-lightning soundfile` | `run_ema.py plain` / `run_ema.py compiled` |
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- | Antalia-2 Mini 1.0.0 | `pip install <wheel from huggingface.co/cloud0day3/antalia-mini>` | `run_antalia_mini.py` |
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  | Trendyol-TTS | `pip install voxcpm soundfile` | `run_trendyol.py` |
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  | Anka TTS v0.1 | `pip install "anka-tts[tts]" "pyarrow<17" soundfile` | `run_anka.py` |
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  | Chatterbox Multilingual | `pip install chatterbox-tts "setuptools<81" soundfile` | `REF_WAV=ref/male.wav run_chatterbox.py` |
 
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  **Charts, leaderboard and audio samples:** https://speech.patientdesk.ai/en/benchmarks (Turkish: https://speech.patientdesk.ai/benchmarks)
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+ Run on 7 October 2026 by PatientDesk AI; the Alania-2 production row on 12 October. Alania-2 and Alania-1 are our commercial models; Antalia-1 is our open-weights release.
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  ## Results
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31
  |---|---|---|---|---|---|---|---|---|
32
  | 1 | EMA Lightning (plain PyTorch) | 8.6M | 1.04 ± 0.17 | 0.22 | 93.7% | 3.30 | 0.017 | ours |
33
  | 2 | EMA Lightning (compiled) | 8.6M | 1.04 ± 0.17 | 0.22 | 93.7% | 3.30 | 0.0030 | ours |
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+ | 3 | **Antalia-2 Mini 1.0.1** (open weights, default settings) | 7.62M | 1.09 ± 0.12 | 0.22 | 92.9% | 3.18 | 0.029 | ours |
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+ | 4 | **Alania-2** (production API, best of 11 voices¹) | 488M | 1.15 ± 0.22 (Öncel) | 0.22 (Öncel) | 93.1% (Lina) | 3.66 (Lina) | – | ours |
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+ | 5 | Trendyol-TTS (cfg 2.0, 16 steps) | 2.38B | 1.16 ± 0.16 | 0.23 | 93.1% | 3.82 | 0.962 | ours |
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+ | 6 | Gemini 3.8 Flash TTS (voice Kore) | – | 1.23 ± 0.10 | 0.29 | 92.9% | 3.53 | – | ours |
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+ | 7 | Gemini 3.8 Flash-Lite TTS (voice Kore) | – | 1.34 ± 0.19 | 0.27 | 91.9% | 3.63 | – | ours |
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+ | 8 | Anka TTS (built-in male voice) | 336M | 1.42 ± 0.06 | 0.30 | 91.6% | 3.52 | 0.322 | ours |
40
+ | 9 | ElevenLabs v4 (voice George) | – | 1.43 ± 0.12 | 0.27 | – | – | – | quoted: EMA Lightning card |
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  | 10 | **Alania-2** (model only, no serving checks) | 488M | 1.51 ± 0.19 | 0.30 | 91.8% | 3.66 | 0.151 | ours |
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  | 11 | ElevenLabs v4 Turbo (voice George) | – | 1.54 ± 0.22 | 0.29 | – | – | – | quoted: EMA Lightning card |
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  | 12 | Chatterbox Multilingual (Anka male reference) | 500M | 1.91 ± 0.35 | 0.43 | 88.8% | 3.51 | 2.892 | ours |
 
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  | 19 | FreyaTTS-small (default voice) | 183M | 12.02 ± 0.00 | 4.95 | 47.1% | 2.81 | 0.286 | ours |
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  | 20 | F5-TTS base (no Turkish training) | 336M | 77.84 ± 0.13 | 32.58 | – | – | – | quoted: Anka TTS card |
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+ ¹ Alania-2 was re-run on 12 October 2026 (release alania-v2.1, production API) for all 11 built-in voices with the same harness and scoring; each column shows the best voice: Öncel for WER and CER, Lina for clean rate and UTMOS. The 11 are within noise of each other (WER 1.15–1.62%); the default voice F1 alone scored 1.38 ± 0.18 (1.44 ± 0.15 on 7 October). The other rows are from 7 October.
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+
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  WER/CER: corpus level per take after `score_norm`, mean ± sample standard deviation over three takes. Clean: share of sentences
56
  with no word error. UTMOS: UTMOS22 strong on full-band audio (English-trained; a rough guide only). RTF: generation time / audio
57
  length on one NVIDIA L4, middle of three passes after a warm-up; API rows have none. Alania-1's RTF (2.49 on the L4, model only)
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+ was measured on the first 100 sentences. Antalia-2 Mini was re-run on 10 October 2026 at 1.0.1, which changed only its
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+ output EQ (1.0.0: 1.05 ± 0.07 / 0.20 / 93.1% / 3.25 / 0.043); its CER is 0.220 against EMA Lightning's 0.225, which both
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+ round to 0.22. Chatterbox Multilingual slowed down from pass to pass (RTF 1.69, 2.89, 4.21) with no change in output length; as for every system, the middle pass is reported. Rows marked *quoted* were not run by us.
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  ## What is in this repo
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  | System | Install | Run |
84
  |---|---|---|
85
  | EMA Lightning 1.0.1 | `pip install ema-lightning soundfile` | `run_ema.py plain` / `run_ema.py compiled` |
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+ | Antalia-2 Mini 1.0.1 | `pip install <wheel from huggingface.co/cloud0day3/antalia-mini>` | `run_antalia_mini.py` |
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  | Trendyol-TTS | `pip install voxcpm soundfile` | `run_trendyol.py` |
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  | Anka TTS v0.1 | `pip install "anka-tts[tts]" "pyarrow<17" soundfile` | `run_anka.py` |
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  | Chatterbox Multilingual | `pip install chatterbox-tts "setuptools<81" soundfile` | `REF_WAV=ref/male.wav run_chatterbox.py` |
results/results.json CHANGED
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  "gpu": "NVIDIA L4",
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  "sample_rate": 48000
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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results/scores/alania-2-lina.jsonl ADDED
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results/scores/alania-2-oncel.jsonl ADDED
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