humyn-labs/Indian-Emotional-Speech-Corpus

---
license: cc-by-4.0
pretty_name: Indian Emotional Speech Corpus
language:
- en
tags:
- speech
- emotional-speech
- audio-recognition
- ai-research
- voice-analysis
- natural-speech
- emotional-tones
task_categories:
- audio-classification
size_categories:
- n<1K
---

# Indian Emotional Speech Corpus

## Dataset Description

This dataset comprises high-quality audio recordings of Indian speakers reading a standardized 50-word paragraph in four distinct emotional tones — **happy**, **sad**, **surprised**, and **angry**.

Each recording is approximately 20–25 seconds long and includes the full paragraph with tone shifts at specific points.

**Text spoken by all participants:**

> (happy tone) *Last Monday was perfect—I got the job I’d been dreaming of! I screamed, hugged my parents, and we even had cake for breakfast.*
> (sad tone) *But two days later, my mom called—our dog Bruno had passed away in his sleep. I didn’t even get to say goodbye.*
> (surprised tone) *And just when I thought the week couldn’t get any crazier, I got a surprise call—I was selected for a global fellowship I never even applied for!*
> (angry tone) *But earlier that day, my Wi-Fi cut out again during an important meeting... third time this week! It’s beyond frustrating. What a week. Honestly, I’m still processing it all.*

The dataset supports training and evaluation of models in:

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

---

## Dataset Structure

- **Audio Files**: Audio clips are stored in the `audio/` directory with names like `audio_001.wav`, `audio_002.mp3`, etc.
- **Formats**: `.wav`, `.mp3`, `.m4a`
- **Duration**: Each file is 20–25 seconds long

- **Metadata** (in `metadata.csv`):
- `file_name`: Name of the audio file
- `transcription`: Full 50-word paragraph
- `emotional_tones`: Order of tones (e.g., `happy;sad;surprised;angry`)
- `age_group`: e.g., `18–30`, `31–45`, `46–60`
- `gender`: `male` or `female`
- `region`: e.g., `North India`, `South India`, `East India`, `West India`

---

## 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

---

## 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

---

## License

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

---

## Contact

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

## Citation
**BibTeX:**
```bibtex
@misc{indian_emotional_speech_corpus,
title = {Indian Emotional Speech Corpus},
author = {Contributors from across India},
year = {2025},
howpublished = {\url{https://huggingface.co/datasets/indian_emotional_speech_corpus}},
note = {Dataset available under CC-BY-4.0 License}
}