A real-time speech emotion recognition application using Scikit-learn and gradio.

• librosa==0.6.3
• numpy
• soundfile==0.9.0
• sklearn
• pyaudio==0.2.11
• gradio

• Dataset: RAVDESS dataset
• Feature Extraction: MFCC, Chroma, and Mel Frequency Cepstrum
• Model: Multi Layer Perceptron classifier
• Accuracy: ~76% with 4 classes ["angry","sad", "neutral","happy"]

python train.py

python app.py