virajbhutada/speech-emotion-recognition

This repository houses a robust speech emotion recognition system, featuring signal processing scripts, machine learning algorithms, and comprehensive documentation. It accurately classifies emotions in spoken language, enabling applications like sentiment analysis and emotion-aware systems.

27
/ 100
Experimental

This project helps you understand the emotions conveyed in spoken language. It takes audio recordings of speech and identifies emotions like happiness, sadness, anger, and fear. Anyone building virtual assistants, sentiment analysis tools, or emotion-aware systems would use this to add an emotional intelligence layer to their applications.

No commits in the last 6 months.

Use this if you need to automatically detect and classify emotions from spoken audio to understand user sentiment or build more empathetic AI.

Not ideal if you primarily need to analyze emotions from text, facial expressions, or other non-speech data.

sentiment-analysis customer-service-analytics virtual-assistant-enhancement human-computer-interaction call-center-intelligence
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 14 / 25

How are scores calculated?

Stars

9

Forks

3

Language

Jupyter Notebook

License

Last pushed

Oct 28, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/virajbhutada/speech-emotion-recognition"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.