>Developed a system to detect 7 emotions (Anger, Fear, Happiness, Sadness, Disgust, Neutral, Surprise) from Human Speech Samples (using Surrey Audio-Visual Expressed Emotion (SAVEE) Database). >Concepts utilized: explored first central Spectral Moment time-frequency distribution augmented by low order Cepstral coefficients for feature extraction, modeled the data using GMM and adapted it using Maximum Aposteriori (MAP) algorithm, trained a multi-class SVM classifier with Gaussian kernel for the purpose of classification >Keywords: Speech Signal Processing, Emotion Detection, MATLAB, GMM, UBM, SVM