Discover AI-powered music composition using MATLAB's LSTM networks. This project provides a complete framework for algorithmic composition, from MIDI dataset preprocessing to original melody generation. Implement a sequence-to-sequence model that learns musical patterns from classical piano pieces, then creates new compositions with controllable tempo and mood parameters. The tutorial covers essential audio processing techniques including note encoding, spectrogram analysis, and post-processing for musical coherence. Evaluate output quality using both computational metrics and human listening tests. The package includes sample MIDI datasets and pretrained models.