Vaijyant Tomar
Python, Jupyter,
Course project repository for Computational Human Behaviour Model. Fall 2017.
Detected human emotion from human speech, in the English language, by extracting acoustic features with an AUC of 75.78%. Implement classification models such as Random Forest, Support Vector Machine, K-Means clustering, and Neural Network along with tuning the hyperparameters for the algorithms. Preprocessed data to remove meta data associated with the audio *.wav files.