Music Processing Experiment with Python Notebook and IoT App

Providing active learning in signal processing is a relevant educational challenge. Open Educational Resources (OER) might foster practical activities that assist in student learning. In this article, a music processing experiment in a Python Notebook with local and cloud execution alternatives is presented to complement the theoretical education in signal processing. The open-source experiment is also connected to a cloud IoT platform to foster external integrations in students' projects, and activities are organized according to Learning Objectives according to Bloom's Taxonomy.