Music information retrieval with Python
07-20, 15:30–16:00 (Europe/Prague), PyCharm (Forum Hall)

The advancements of artificial intelligence in computer vision and natural language processing often make the headlines, but the subspace of musical AI is developing just as rapidly. Let’s take a dive into the research area of music information retrieval and see how Python enables some of its proudest achievements. You’ll learn about common MIR tasks and get ideas on how you can analyze, generate and interact with music using code, so you can start exploring right away!
No music theory knowledge nor prior experience with MIR is expected.

The talk gives an overview of the music information retrieval (MIR) research area. The area encompasses music analysis, generation, processing and recommendation. Python is one of the main tools used in MIR, with many dedicated libraries and more and more pre-trained AI models available for Pythonistas. Both the research area of MIR and the contents of this talk are highly interdisciplinary - MIR has something for you regardless whether you're a music lover, an active musician, deep learning researcher or web app builder!

Expected audience expertise


Assistant Professor at the Institute of Computer Science of Warsaw University of Technology, of which he is also a graduate (MSc summa cum laude 2015, PhD 2022). Software engineer, AI researcher, conference speaker, author and co-author of papers on audio ML and artificial intelligence applied to computer games. His primary research area is music information retrieval (MIR). Has also worked with research and engineering teams of Fortune 500 companies, providing ML solutions and analytics. Apart from his scientific and engineering work, he is also an experienced touring and studio musician, having performed for audiences of up to 150,000 people and having toured in Poland, China, Vietnam, the UK, Germany, Ukraine, Lithuania and Estonia, among others.