telegu_audio_dataset

# Telegu Language Audio Dataset

**Text spoken by all participants:**

"కృత్రిమ మేధస్సు (AI) వేగంగా అభివృద్ధి చెందుతోంది, రోజువారీ జీవితాన్ని మార్చేస్తోంది. దీని ఆవిష్కరణలు విద్య, ఆరోగ్య సంరక్షణ మరియు పనిని మెరుగుపరుస్తున్నాయి, కొత్త అవకాశాలను సృష్టిస్తున్నాయి।"

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 Bengali.
- 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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# 泰卢固语语音数据集（Telegu Language Audio Dataset）

**所有参与者的发言文本：**

"人工智能（AI）正以迅猛之势发展，重塑着我们的日常生活。其技术成果正优化教育、医疗保健与工作场景，并创造全新的发展机遇。"

本数据集可用于训练与评估以下方向的模型：

- 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

- 针对印度口音孟加拉语的自动语音识别模型开展训练与基准测试
- 从语音中进行情感检测与分类
- 情感计算与共情AI领域的相关研究

### ❌ 超范围使用场景

- 实时或工业级生产系统
- 未遵循CC BY 4.0协议进行署名的商业使用
- 临床或诊断类应用场景

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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），未能完全覆盖印度的语言与情感多样性
- 💡 情感判断具有主观性——分类结果可能因评估者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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## 授权协议

**CC BY 4.0** — 您可在注明恰当来源的前提下，使用、修改并分享本数据集。

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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

该数据集是一个泰卢固语音频集合，主要用于自动语音识别、情感分类和语音合成等模型训练与评估。它规模较小，包含不到1000个样本，并遵循CC BY 4.0许可证，适合研究用途，但存在语言和情感多样性有限的局限性。