benkhelifamohamedtaher/speech-emotion-recognition
Deep learning system for emotion recognition from speech, achieving 50.5% accuracy on 8-class classification using transformer architecture and real-time analysis
This project helps systems understand human emotions by analyzing spoken words. It takes audio input, like a live conversation or a recording, and identifies one of eight emotions (e.g., anger, happiness, sadness). This is useful for anyone building or managing virtual assistants, mental health support tools, or customer service platforms that need to respond appropriately to user feelings.
Use this if you need to automatically detect and categorize emotions from speech in real-time or from audio recordings.
Not ideal if you require extremely high accuracy (above 50.5%) for critical emotion classification or need to identify emotions from text rather than speech.
Stars
9
Forks
2
Language
Python
License
MIT
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/benkhelifamohamedtaher/speech-emotion-recognition"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
MiteshPuthran/Speech-Emotion-Analyzer
The neural network model is capable of detecting five different male/female emotions from audio...
maelfabien/Multimodal-Emotion-Recognition
A real time Multimodal Emotion Recognition web app for text, sound and video inputs
x4nth055/emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python,...
marcogdepinto/emotion-classification-from-audio-files
Understanding emotions from audio files using neural networks and multiple datasets.
xiamx/awesome-sentiment-analysis
😀😄😂😠A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤