This story was originally published on HackerNoon at: https://hackernoon.com/music-generation-via-a-hidden-markov-model-part-1. Automated music generation via a Hidden Markov Model (HMM). Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #ai-music-generation, #ai-music, #generative-music, #sequence-models, #python-project, #python-guide, #sequence-to-sequence, #music-technology, and more. This story was written by: @pictureinthenoise. Learn more about this writer by checking @pictureinthenoise's about page, and for more stories, please visit hackernoon.com. This guide explains how to build a simple generative music application (that doesn't infringe on copyrighted music) using a Hidden Markov Model (HMM). You will build the application using a local Jupyter Notebook. A corpus of classical music will be used as input data and will serve as the basis for different experiments with the application.