DRAMA-Eval - Local Expressiveness (English): leaderboard
Speech generators voice whole multi-speaker scenes from structured English scripts built from real podcasts, films and TV series (a set of 501 cases, each turn with delivery directions; systems were scored on up to that many); a Gemini 3.8 Flash judge compares each turn's expressive delivery with the real recording, and the score is a tie-adjusted win rate where 50 means as good as the recording. Unlike EmergentTTS-Eval, the reference is the original human performance, not another TTS system.
Metric: Tie-adjusted win rate (%) against the real recording on expressive delivery of each turn, Gemini 3.8 Flash A/B judge (50 = parity), English set (501 cases). Source: aslp-lab.github.io. Saturation forecast: Rough model projection: around 2026. 12 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | SeedAudio 1.0 | 57 | |
| 2 | MiniMax-H3 | 51.6 | |
| 3 | StepAudio 3 Gen | 45.2 | |
| 4 | Qwen3-TTS-12Hz-1.7B-VoiceDesign | 44.5 | |
| 5 | Qwen-Audio-3.1-TTS-Next | 42.72 | |
| 6 | FireRedTTS3 | 30.7 | |
| 7 | Ming-3.0-tts-0.5B | 28.8 | |
| 8 | VoxCPM2 | 28.5 | |
| 9 | Higgs Audio V2 | 19.6 | |
| 10 | MOSS-TTS-2.0 Preview | 17 |
Interactive version: theaggregate.ai/benchmark?slug=drama-eval-local-expressiveness-english · How It Works · Data refreshed daily, snapshot 2026-11-13.