Seed-TTS-eval
Fading
Models clone a voice from a short prompt and speak new text in English and Mandarin. Scored by word error rate from an ASR model and by speaker similarity.
Uses 1,000 Common Voice samples for English and 2,000 DiDiSpeech-2 samples for Mandarin, plus a hard Mandarin set. Repo has about 1,600 GitHub stars.
Made by ByteDance (Seed-TTS team) Released Jun 2024 Speech recognition and translation All tasks public Last in a launch post Mar 2026 , dropped before it saturated
Last model added Apr 2026
- Level
- Everyday Most adults, without training
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Open-ended Free-form text, documents, designs or media judged as a whole.
3
Launch posts list it, from 1 lab
5
System cards report it, from 3 labs
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for Seed-TTS-eval yet.
Labs headline it less often now, last in Mar 2026
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 30 Mar 2026 |  Qwen3.5-Omni-Plus | 1.35 | Seed-en custom voice stability (Seed-zh 1.07, Seed-hard 6.24) |
| 22 Sep 2025 | Qwen3-Omni-30B-A3B | 1.39 | SEED test-zh / test-en 1.07 / 1.39 (test-en recorded) |
| 27 Mar 2025 | Qwen2.5-Omni-7B | 2.32 | SEED test-en content consistency, Qwen2.5-Omni-7B_RL (test-zh 1.42, test-hard 6.54) |
5 system cards report it, from 3 labs
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 17 Apr 2026 | Qwen3.5-Omni-Plus technical report | SEED zero-shot TTS WER test-zh 0.99, test-en 1.26, no overall (Table 8) | Capabilities | |
| 4 Feb 2026 |  ERNIE 5.0 technical report | SEED-TTS test-zh 1.35, test-en 1.54, WER, lower is better, no overall score (Table 8) | Capabilities | |
| 22 Sep 2025 | Qwen3-Omni-30B-A3B technical report | SEED test-zh 1.07, test-en 1.39, content consistency WER, lower is better, no overall score (Table 13) | Capabilities | |
| 18 Sep 2025 | MiMo-Audio-7B-Instruct technical report | Seed-TTS-Eval WER ZH 1.96, EN 5.37, ZH-Hard 14.14, lower is better, no overall score (Table 9) | Capabilities | |
| 26 Mar 2025 | Qwen2.5-Omni-7B technical report | SEED content consistency WER, Qwen2.5-Omni-7B RL test-zh 1.42, test-en 2.33, test-hard 6.54 (ICL 1.70, 2.72, 7.97). Speaker similarity RL 0.754, 0.641, 0.752. Lower WER is better, no overall score (Table 9) | Capabilities |
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