Predicting Music Popularity Based on Extracted Instrumental Features
Generated a Mel-Spectrogram dataset of over 50,000 songs obtained from raw MP3 files. Leveraged models including XGBoost, SVM ANOVA with ranking loss, ResNet model, and Transformers for Mel spectrogram analysis.