Speech-Emotion-Recognition-App
A real-time speech emotion recognition application using Scikit-learn and gradio.
Requirements
- librosa==0.6.3
- numpy
- soundfile==0.9.0
- sklearn
- pyaudio==0.2.11
- gradio
pipeline
- 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”]
Training
python train.py
Demo
python app.py
