• Designed a model to recognize Human Emotion and the Affective States from speech using MLP-Classifier
• Used librosa, soundfile and sklearn libraries and the RAVDESS Dataset to train the model
• Explored various implementations of Speech Emotion Recognition in the Medical Profession to predict Mood
Charts and the Mental Health of Patients, Security, and Entertainment Industry
