Using the Emotions in Music Database and PyTorch to create RNNs to predict the emotion music carries on Russel's circumplex model of affect and exploring implementations of this system.

In this code, we have used common and well-known datasets such as the Toronto dataset available on Kaggle to create a sentiment analysis model from human voice. This model is designed based on the Bert model and is called Hubert.

Program to detect sentiment from audio files.