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![logo.png](assets/logo.png)


> This dataset only contains test data, which is integrated into UltraEval-Audio(https://github.com/OpenBMB/UltraEval-Audio) framework.

```shell
python audio_evals/main.py --dataset respiratory-crackles --model gpt4o_audio

python audio_evals/main.py --dataset respiratory-wheezes --model gpt4o_audio
```


### 🚀超凡体验,尽在UltraEval-Audio🚀

UltraEval-Audio——全球首个同时支持语音理解和语音生成评估的开源框架,专为语音大模型评估打造,集合了34项权威Benchmark,覆盖语音、声音、医疗及音乐四大领域,支持十种语言,涵盖十二类任务。选择UltraEval-Audio,您将体验到前所未有的便捷与高效:

- **一键式基准管理 📥**:告别繁琐的手动下载与数据处理,UltraEval-Audio为您自动化完成这一切,轻松获取所需基准测试数据。
- **内置评估利器 ⚙️**:无需再四处搜寻评估工具,UltraEval-Audio内置八种常用的评估方法(如WER、WER-ZH、BLEU、G-Eval),无论是基于规则还是模型驱动,都能满足您的需求。
- **功能强大,灵活易用 🛠️**:支持预览测试、随机样本、错误重试、断点重跑等功能,确保评估过程灵活可控,提升效率与准确性。
- **无缝集成自定义数据集 💼**:不仅支持公开benchmark,还提供强大的自定义数据集功能,让您在各种工程场景下也能迅速应用。
- **轻松对接现有系统 🔗**:具备优秀的扩展性和标准化设计,即使您已拥有一套完善的评估体系,UltraEval-Audio也能无缝对接,简化项目管理流程,输出结果统一规范。


# UltraEval-Audio: 🎙️ Open-Source Speech Model Evaluation Framework, Empowering Your AI Voice Research!

## One-Stop Evaluation, Time-Saving and Effortless! 🚀

UltraEval-Audio integrates **30+ benchmarks**, covering *speech*, *sound*, *medicine*, *music* four major domains, supporting **10 languages**, and encompassing **12 types of tasks**, helping you easily master speech evaluation!

##  No Tedious Operations, Ready to Use Out of the Box! 🎁

- Automatic Download and Management of Benchmarks, Say Goodbye to Manual Download and Processing! 📥
- Built-in 8 Common Evaluation Methods, Including **wer, wer-zh, G-Eval**, Meeting Your Diverse Evaluation Needs! 🛠️

## Flexible Expansion, Seamless Integration! 🔗

- Quick Integration of Internal Datasets, Custom Dataset Functionality, Making Your Evaluation More Targeted! 📊
- Easy Access to Existing Evaluation Systems, Excellent Scalability and Standardization, Allowing UltraEval-Audio to Easily Integrate into Your Evaluation Ecosystem! 🧩


Experience Now: https://github.com/OpenBMB/UltraEval-Audio 🌐


UltraEval-Audio: 🎙️ Your Best Partner in AI Voice Research, Accelerating Your Breakthroughs in Speech Technology! 🚀