Datasets:
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pretty_name: DRAMA-Eval
arxiv: 2610.31796
task_categories:
- text-to-speech
language:
- en
- zh
tags:
- speech
- tts
- drama
- multi-speaker
- multi-turn
- evaluation
- audio
- benchmark
size_categories:
- 1K<n<10K
---
# DRAMA-Eval
**DRAMA-Eval: A Benchmark for Context-Aware, Multi-Turn, Multi-Speaker Speech Generation**
- Paper: https://arxiv.org/abs/2610.31796
- Project: https://github.com/ASLP-lab/DRAMA-Eval
- Demo: https://ASLP-lab.github.io/DRAMA-Eval-Demo
- Results: https://huggingface.co/datasets/ASLP-lab/DRAMA-Eval-Results
This repository hosts the bilingual (Chinese-English) evaluation resources released with DRAMA-Eval: ground-truth audio and prompt wavs for context-aware, multi-turn, multi-speaker speech generation.
## Dataset Structure
```text
GT_audio/
en_audios/ # English ground-truth utterances
zh_audios/ # Chinese ground-truth utterances
prompt_wav/
en/ # English prompt wav (+ paired .asr.txt when available)
zh/ # Chinese prompt wav (+ paired .asr.txt when available)
```
## Audio files
- `GT_audio/en_audios` — English — 501
- `GT_audio/zh_audios` — Chinese — 537
- `prompt_wav/en` — English — 102
- `prompt_wav/zh` — Chinese — 123
DRAMA-Eval provides a human-verified, about 12-hour bilingual test set of manually corrected real-world scripts (e.g., films/TV, podcasts, interviews), paired with ground-truth audio for evaluation.
## Related Releases
- Evaluation code / project: https://github.com/ASLP-lab/DRAMA-Eval
- Model outputs and metrics: https://huggingface.co/datasets/ASLP-lab/DRAMA-Eval-Results
- Demo page: https://ASLP-lab.github.io/DRAMA-Eval-Demo
## Citation
If you use this dataset, please cite:
```bibtex
@article{hu2026dramaeval,
title = {DRAMA-Eval: A Benchmark for Context-Aware, Multi-Turn, Multi-Speaker Speech Generation},
author = {Hu, Jingbin and Yang, Zihang and Peng, Xiaoge and Zhang, Haoyu and Zhang, Ziyu and Zhan, Qirui and Chen, Huakang and Guo, Zhao and Tian, Wenjie and Xia, Kangxiang and Hou, Wenkang and You, Ruonan and Liu, Zihan and Liao, Chenyi and Lyu, Hongyu and Bai, Zihao and Liang, Jinrui and Lin, Shengming and Chen, Yunxiang and Liu, Houdun and Feng, Su and Wu, Bengu and Xue, Liumeng and Xie, Lei},
journal = {arXiv preprint arXiv:2610.31796},
year = {2026}
}
```
## Contact
Audio, Speech and Language Processing Group (ASLP@NPU), Northwestern Polytechnical University / ASLP-lab.
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