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Tutorials

The following is a list of tutorials presented at previous ISMIR conferences.

2025

Differentiable Physical Modeling Sound Synthesis: Theory, Musical Application, and Programming
Jin Woo Lee, Stefan Bilbao, and Rodrigo Diaz

Self-supervised Learning for Music – An Overview and New Horizons
Julien Guinot, Alain Riou, Yuexuan Kong, Marco Pasini, Gabriel Meseguer-Brocal, Stefan Lattner

PsyNet: Online Research Platform for Music Studies
Peter Harrison, Harin Lee, Manuel Anglada-Tort, Pol van Rijn, Nori Jacoby

Differentiable Alignment Techniques for Music Processing: Techniques and Applications
Meinard Müller, Johannes Zeitler

Explainable AI for Music Information Retrieval
Valerie Krug, Maral Ebrahimzadeh, Tia Bolle, Jan-Ole Perschewski, Sebastian Stober

MIR for Health, Medicine, and Well-being
Anja Volk, Elaine Chew, Michael A. Casey

2024

Connecting Music Audio and Natural Language
Seung Heon Doh, Ilaria Manco, Zachary Novack, Jong Wook Kim and Ke Chen

Exploring 25 Years of Music Information Retrieval: Perspectives and Insights
Masataka Goto, Jin Ha Lee, and Meinard Müller

From White Noise to Symphony: Diffusion Models for Music and Sound
Chieh-Hsin Lai, Koichi Saito, Bac Nguyen Cong, Yuki Mitsufuji, and Stefano Ermon

Humans at the Center of MIR: Human-subjects Research Best Practices
Claire Arthur, Nat Condit-Schultz, David R. W. Sears, John Ashley Burgoyne, and Josuha Albrecht

Deep Learning 101 for Audio-based MIR
Geoffroy Peeters, Gabriel Meseguer Brocal, Alain Riou, and Stefan Lattner

Lyrics and Singing Voice Processing in Music Information Retrieval: Analysis, Alignment, Transcription and Applications
Daniel Stoller, Emir Demirel, Kento Watanabe, and Brendan O’Connor

2023

Analysing Physiological Data Collected During Music Listening: An Introduction
Laura Bishop, Geoffray Bonnin, Jérémy Frey
Introduction to Differentiable Audio Synthesizer Programming
Ben Hayes, Jordie Shier, Chin-Yun Yu, David Südholt, Rodrigo Diaz
Transformer-based Symbolic Music Generation: Fundamentals to Advanced Concepts, Stylistic Considerations, Conditioning Mechanisms and Large Language Models
Berker Banar, Pedro Sarmento, Sara Adkins
Computer-Assisted Music-Making Systems: Taxonomy, Review, and Coding
Christodoulos Benetatos, Zhiyao Duan, Philippe Pasquier
Learning with Music Signals: Technology Meets Education
Meinard Müller
Kymatio: Deep Learning meets Wavelet Theory for Music Signal Processing
Cyrus Vahidi, Christopher Mitcheltree, Vincent Lostanlen

2022

An Introduction to Symbolic Music Processing in Python with Partitura
Carlos Cancino-Chacón, Francesco Foscarin, Emmanouil Karystinaios, Silvan David Peter
Computational Methods For Supporting Corpus-Based Research On Indian Art Music
Thomas Nuttall, Genís Plaja-Roglans, Lara Pearson, Brindha Manickavasakan, Ajay Srinivasamurthy, Kaustuv Kanti Ganguli
Designing Controllable Synthesis System for Musical Signals
Hyeong-Seok Choi, Yusong Wu
Few-Shot and Zero-Shot Learning for Musical Audio
Yu Wang, Hugo Flores García, Jeong Choi
Deep learning for automatic mixing
Christian J. Steinmetz, Soumya Sai Vanka, Gary Bromham, Marco A. Martínez Ramírez
Trustworthy MIR: Creating MIR applications with values
Christine Bauer, Andrés Ferraro, Emilia Gómez, Lorenzo Porcaro

2021

Tempo, Beat, and Downbeat Estimation
Matthew E. P. Davies, Sebastian Böck and Magdalena Fuentes
Designing Generative Models for Interactive Co-creation
Anna Huang, Jon Gillick and Chris Donahue
Scales, Chords, and Cadences: Practical Music Theory for MIR Researchers
Johanna Devaney, David R. W. Sears and Daniel Shanahan
Music Classification: Beyond Supervised Learning, Towards Real-world Applications
Minz Won, Janne Spijkervet and Keunwoo Choi
Programming MIR Baselines from Scratch: Three Case Studies
Rachel Bittner, Mark Cartwright and Ethan Manilow
Teaching Music Information Retrieval
George Tzanetakis

2020

Prototyping and Scaling Audio Research with Klio
Fallon Chen, Lynn Root, Dan Simon and Shireen Kheradpey
Analysis of Expressive Timing in Recorded Music Performances
Nico Schüler
Metric Learning for Music Information Retrieval
Brian McFee, Jongpil Lee and Juhan Nam
Open-Source Tools & Data for Music Source Separation: A Practical Guide for the MIR Practitioner
Ethan Manilow, Prem Seetharaman and Justin Salamon
Version Identification in the 20s
Furkan Yesiler, Christopher Tralie and Joan Serrà

2019

Fundamentals of Music Processing: An Introduction using Python and Jupyter Notebooks
Meinard Müller and Frank Zalkow
Generating Music with GANs: An Overview and Case Studies
Hao-Wen Dong and Yi-Hsuan Yang
Audiovisual Music Processing
Zhiyao Duan, Slim Essid, Bochen Li and Sanjeel Parekh
Computational Modeling of Musical Expression: Perspectives, Datasets, Analysis and Generation
Carlos Cancino-Chaćon, Katerina Kosta and Maarten Grachten
Waveform-based music processing with deep learning
Sander Dieleman, Jordi Pons and Jongpil Lee
Fairness, Accountability and Transparency in Music Information Research (FAT-MIR)
Emilia Gómez, Andre Holzapfel, Marius Miron and Bob L. Sturm

2018

Open Source and Reproducible MIR Research
Brian McFee, Thor Kell
Computational Approaches for Analysis of Non-Western Music Traditions
Xavier Serra, Martin Clayton, Barış Bozkurt
Statistical Analysis of Results in Music Information Retrieval: Why and How
Julian Urbano, Arthur Flexer
Music Separation with DNNs: Making It Work
Antoine Liutkus, Fabian-Robert Stöter
Deep Learning for MIR
Alexander Schindler, Thomas Lidy, Sebastian Böck
Fundamental Frequency Estimation in Music
Rachel Bittner, Alain de Chevigne, Johanna Devaney
Optical Music Recognition for Dummies
Jorge Calvo-Zaragoza, Jan Hajič jr., Alexander Pacha, Ichiro Fujinaga
Overview and New Challenges of Music Recommendation Research in 2018
Markus Schedl, Peter Knees, Fabien Gouyon

2017

Bayes and Markov Listen to Music
George Tzanetakis
Leveraging MIDI files for Music Information Retrieval, video
Colin Raffel
A basic introduction to audio-related music information retrieval, additional material
Meinard Müller, Christof Weiß
So you want to conduct a user study in MIR?
Andrew Demetriou, Audrey Laplante, Sally Jo Cunningham, Cynthia Liem
Machine-Learning for Symbolic Music Generation
Pierre Roy, Jean-Pierre Briot

2016

Jazz solo analysis between music information retrieval, music psychology, and jazz research
Jakob Abeßer, Klaus Frieler, Wolf-Georg Zaddach
Music Information Retrieval: Overview, Recent Developments and Future Challenges
Emilia Gómez, Markus Schedl, Xavier Serra, Xiao Hu
Why is studio production interesting?
Emmanuel Deruty, François Pachet
Introduction to EEG Decoding for Music Information Retrieval Research
Sebastian Stober, Blair Kaneshiro
Natural Language Processing for MIR
Sergio Oramas, Luis Espinosa­-Anke, Shuo Zhang, Horacio Saggion
Why Hip-Hop is interesting
Jan Van Balen, Ethan Hein, Dan Brown

2015

Why singing is interesting
Simon Dixon, Masataka Goto, Matthias Mauch
Addressing the music information needs of musicologists
Richard J. Lewis, Ben Fields, Tim Crawford, Kevin Page, David Weigl, Meinard Müller, David Lewis, Christophe Rhodes, Justin Gagen
Markov logic networks for music analysis
Helene Papadopoulos
Computation and Flamenco: Why flamenco is interesting for MIR research?
Emilia Gomez, Nadine Kroher, Jose Miguel Díaz-Báñez, Sergio Oramas, Joaquín Mora, Francisco Gómez-Martín
Using correlation analysis and big data to identify and predict musical behaviors
Jeff C. Smith
Automatic music transcription
Zhiyao Duan, Emmanouil Benetos

2014

Why is Greek music interesting? Towards an ethics of MIR
Andre Holzapfel, George Tzanetakis
Musical structure analysis[Part 1, Part 2, Part 3]
Meinard Müller, Jordan Smith
Jingju music: concepts and computational tools for its analysis
Rafael Caro Repetto, Ajay Srinivasamurthy, Sankalp Gulati, Xavier Serra
MiningSuite, a comprehensive framework for music analysis, articulating audio (MIRtoolbox 2.0) and symbolic approaches
Olivier Lartillot

2013

Why is Brazilian guitar interesting?
François Pachet, Giordano Cabra
Music autotagging
Mohamed Sordo, Emanuele Coviello
Deep learning in MIR – Demystifying the dark art: Part 1, Part 2, Part 3
Philippe Hamel, Eric J. Humphrey, Erik M. Schmidt
Conditional random fields with application to music analysis
Slim Essid

2012

Leveraging Repetition to Parse the Auditory Scene
Josh McDermott, Bryan Pardo, and Zafar Rafii
Music Affect Recognition: The State-of-the-art and Lessons Learned
Xiao Hu, Yi-Hsuan (Eric) Yang
Reusable software and reproducibility in music informatics research
Mark D Plumbley, Simon Dixon, Chris Cannam
Why is Jazz Interesting?
François Pachet

2011

Million Song Dataset
Thierry Bertin-Mahieux, Matthew D. Hoffman, Daniel P.W. Ellis
Audio Content-based Music Retrieval
Meinard Müller, Joan Serra
Practical Linked Data for MIR Researchers
David De Roure, Kevin Page
Musicology
Anja Volk, Frans Wiering

2010

Music Source Separation and its Applications to MIR
Emmanuel Vincent, Nobutaka Ono
A Tutorial on Pattern Discovery and Search Methods in Symbolic Music Information Retrieval.
Ian Knopke, Eric Nichols
A Music-oriented Approach To Music Signal Processing.
Meinard Müller, Anssi Klapuri
Finding A Path Through The Jukebox – The Playlist Tutorial.
Ben Fields, Paul Lamere

2009

MIR at the Scale of the Web
Malcolm Slaney, Michael Casey
Mining the Social Web for Music-Related Data: A Hands-on Tutorial
Claudio Baccigalupo, Ben Fields
Using Visualizations for Music Discovery
Justin Donaldson, Paul Lamere
Share and Share Alike, You Can Say Anything about Music in the Web of Data
Share and Share Alike, You Can Say Anything about Music in the Web of Data

2008

Music Information Retrieval in ChucK; Real-Time Prototyping for MIR Systems & Performance
Ge Wang, Rebecca Fiebrink, Perry R. CookMalcolm Slaney, Michael Casey
Computational Temporal Aesthetics; Relation Between Surprise, Salience and Aesthetics in Music and Audio Signals
Shlomo Dubnov
Social Tags and Music Information Retrieval
Paul Lamere, Elias Pampalk
Survey of Symbolic Data for Music Applications
Eleanor Selfridge-Field, Craig Sapp

2007

Synchronization and Matching Techiques for Music Data
Meinard Müller, Roger Dannenberg
Introduction to MIR Toolbox
Olivier Lartillot
Music Recommendation
Òscar Celma, Paul Lamere
Techniques for Implementing the Generative Theory of Tonal Music
Keiji Hirata, Satoshi Tojo, Masatoshi Hamanaka

2006

Computational Rhythm Description
Fabien Gouyon, Simon Dixon
User Interfaces for Music Information Retrieval
David Gerhard
MIR for audio signals using Marsyas-0.2
George Tzanetakis, Luis Gustavo Martins
Bayesian Methods for Music Signal Analysis
A. Taylan Cemgil

2005

The combination of musicology, engineering, and interpretation in Beethoven’s 5th symphony
Dalia Atlas
Looking Beyond the Notes: An Engineering Approach to the Study of Musical Performance
Elaine Chew
Music Similarity
Elias Pampalk
Visualization Methods for MIR
Stephan Baumann

2004

Machine Learning for Music Information Retrieval
Sally Jo Cunningham, David BainbridgeSally Jo Cunningham, David Bainbridge
Software Frameworks for Analysis of Audio and Music Signals
Xavier Amatriain, George Tzanetakis
Musical Knowledge, Computational Models and Retrieval
Elaine Chew

2003

A Survey Tutorial
Joe Futrelle and Stephen Downie
Music Information Retrieval for Audio Signals
George Tzanetakis
Music Retrieval and Analysis
Arbee Chen
Sound, Symbol, and Idea: Three Approaches to Music Query
Eleanor Selfridge-Field, Craig Stuart Sapp

2002

Digital Music Representations
Geoffroy Peeters, Gérard Assayag
Music Information Retrieval for Audio Signals
George Tzanetakis
Modern Methods for Statistical Audio Signal Processing and Characterization
Shlomo Dubnov