Music Mood Emotion Detection is a system or algorithm designed to analyze and determine the emotional content or mood conveyed by a song. It aims to automatically identify and classify the emotional characteristics of music based on various audio features.
- run all the cells in the ipynb file in order from top to bottom
- while executing the cells you will create a file called "data.json" file by the help of librosa library
- put the "data.json" file in the same folder with the ipynb file and continue to execute the cells
- finally put any song file u want to predicts on to detect the mood emotion from the song , there is a demo song in the repository to test it after trainning the model.
- immediatley load the .h5 file from the loading model cell in the ipynb file
- predicts the emotons of the songs with happieness :)