metadata

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 :
- [email protected]
- [email protected]

Citation

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}
}