Tutorials

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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