Emotion Detection - Spoken Language Processing System

EmotionDetect – Spoken Language Advanced Processing 🎤

• GitHub Repository
• Developed a sophisticated system for analyzing and recognizing emotions in spoken language.
• Used Praat, a software package for speech analysis, to extract acoustic features such as pitch, intensity, and formants.
• Employed Python for signal processing, feature extraction, and machine learning model implementation.
• Implemented machine learning models like Random Forest, possibly using libraries like PyTorch or Scikit-Learn, to classify emotions based on the extracted features.

• Tech Stack: Praat, Python, PyTorch/Scikit-Learn, Signal Processing, Machine Learning