medical-symptoms-english-audio

# Medical Symptoms English Audio Dataset

*This dataset contains intentionally low-quality (“B-grade”) data. It has been curated to include noisy, imperfect, or otherwise suboptimal samples for the purpose of testing model robustness and performance under degraded input conditions

**Text spoken by all participants:**
"Doctor, I'm constantly tired, like a heavy fog I can't shake. Sharp headaches hit, worse at night, and sleep is tough. I get dizzy, and my stomach feels uneasy after meals. I'm really worried it’s serious. Please help me figure out what's wrong."

The dataset supports training and evaluation of models in:

- Automatic Speech Recognition (ASR)
- Emotional tone classification
- Voice synthesis and generation
- Emotion-aware conversational agents

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## Intended Uses

### ✅ Direct Use

- Training and benchmarking ASR models with Indian-accented English
- Emotion detection and classification from voice
- Research in affective computing and empathetic AI

### ❌ Out-of-Scope Use

- Real-time or production-grade systems
- Commercial use without proper CC BY 4.0 attribution
- Clinical or diagnostic use cases

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## Considerations and Limitations

- ❗ The dataset is small (<1,000 samples) and not fully representative of India's linguistic and emotional diversity
- 💡 Emotions are subjective — classification results may vary by listener or model
- 🔄 Future versions will aim to expand multilingual support and speaker diversity

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## License

**CC BY 4.0** — You can use, modify, and share the dataset with appropriate credit.

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## Contact

- For queries or collaborations related to datasets, contact at :
- [e-mail]
- [e-mail]

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# 医学症状英语音频数据集
*本数据集包含故意制作的低质量（“B级”）数据。其甄选纳入了带有噪声、存在瑕疵或其他欠佳表现的样本，旨在测试模型在退化输入条件下的鲁棒性与性能表现。

**所有参与者的朗读文本：**
“医生，我总是感到疲惫不堪，仿佛被一团挥之不去的浓雾笼罩。夜间会出现剧烈头痛，且睡眠困难。我时常感到眩晕，餐后胃部也会不适。我十分担心病情严重，恳请您帮我查明病因。”

本数据集可用于以下场景下的模型训练与评估：
- 自动语音识别（Automatic Speech Recognition, ASR）
- 情感语调分类
- 语音合成与生成
- 情感感知对话AI智能体（AI Agent）

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## 预期用途

### ✅ 直接使用场景
- 针对印度口音英语的自动语音识别模型训练与基准测试
- 从语音中开展情感检测与分类
- 情感计算与共情式人工智能领域的研究

### ❌ 不适用场景
- 实时或生产级系统
- 未遵循CC BY 4.0协议进行署名的商业使用
- 临床或诊断相关场景

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## 注意事项与局限性
- ❗ 本数据集规模较小（样本量不足1000条），未能完全涵盖印度的语言与情感多样性
- 💡 情感具有主观性——分类结果可能因听众或模型不同而存在差异
- 🔄 未来版本将致力于拓展多语言支持与说话人多样性

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## 许可证

**CC BY 4.0** — 您可在标注适当来源的前提下使用、修改与共享本数据集。

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## 联系方式
- 若有关于本数据集的咨询或合作需求，请联系：
- [e-mail]
- [e-mail]

搜集汇总

背景与挑战

背景概述

该数据集包含低质量的英语音频，所有参与者都陈述相同的医疗症状文本，旨在用于ASR、情感分类等模型的训练和评估。它规模较小，适用于研究目的，但不适合生产或临床使用，遵循CC BY 4.0许可证。