Music Processing Experiment with Python Notebook and IoT App

Felipe Almeida, Victor Takashi Hayashi

DOI: 10.14209/sbrt.2021.1570731183

Evento: XXXIX Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2021)

Keywords: Audio Signal Processing Education IoT Cloud

Abstract

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.

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