MML 2021
14th International Workshop on Machine Learning and Music
Barcelona & online, December 15, 2021
MML 2021
14th International Workshop on Machine Learning and Music
Barcelona & online, December 15, 2021
Background
Machine learning and artificial intelligence have permeated nearly every area of music informatics, driven by a profusion of recordings available in digital audio formats, steady improvements to the accessibility and quality of symbolic corpora, availability of powerful algorithms in standard machine learning toolboxes, and theoretical advances in machine learning and data mining. As the complexity of the problems investigated by researchers on machine learning and music increases, there is a need to develop new algorithms and methods. As a consequence, research on machine learning and music is an active and growing field reflected in international meetings. MML 2020 is the 13th edition of the International Workshops on Machine Learning and Music (MML): 2008 (ICML, Helsinki, Finland), 2009 (ECML, Bled, Slovenia), 2010 (ACM-MM, Florence, Italy), 2011 (NIPS, Sierra Nevada, Spain), 2012 (ICML, Edinburgh, Scotland), 2013 (ECML/PKDD, Prague, Czech Republic), 2014 (Barcelona, Spain), 2015 (ISEA, Vancouver, Canada), 2016 (ECML/PKDD, Riva del Garda, Italy), 2017 (Barcelona, Spain), 2018 (ICML, Stockholm, Sweden), 2019 (ECML, Würzburg, Germany), and 2020 (ECML, Online).
Topics
Papers in all applications on music and machine learning are welcome, including but not limited to
Automatic classification of music (audio and MIDI)
Style-based interpreter recognition
Music recommender systems, genre and tag prediction
Automatic score alignment
Polyphonic pitch detection
Chord extraction
Pattern discovery
Deep learning in music applications
Beat tracking
Expressive performance modeling
Statistical models for music prediction and generation
Organizers
Rafael Ramirez, Universitat Pompeu Fabra, Spain
Darrell Conklin, University of the Basque Country, Spain
José Manuel Iñesta, University of Alicante, Spain
Programme*
15:00 Welcome
15:10 MultiScore Project: Multimodal Transcription of Music Scores
Jorge Calvo-Zaragoza, A. Pertusa, A.J. Gallego, José M. Iñesta, L. Micó, J. Oncina, C. Pérez-Sancho, P-J. Ponce de León, D. Rizo
15:20 3-D motion generation for double bass performance from musical score
Shinji Sako, Takeru Shirai
15:30 Playable Audio Texture Models
Lonce Wyse, Chitralekha Gupta, Purnima Kamath
15:40 Music demixing with the sliCQ transform
Sevag Hanssian
15:50 Generating expressive features of music performances with deep sequence models
Fabio Muneratti Ortega, Rafael Ramirez
16:00 An Unsupervised Domain Adaptation framework for LayoutAnalysis of Music Score Images
Francisco J. Castellanos, Antonio Javier Gallego, Jorge Calvo-Zaragoza
16:10 AugmentedNet: A Convolutional Recurrent Neural Network forAutomatic Roman Numeral Analysis with Improved Data Augmentation
Néstor Népoles López, Mark Gotham, and Ichiro Fujinaga
16:20 Automatic Assessment of Tone Quality in Violin Music Performance
Sergio Giraldo, George Waddell, Rafael Ramirez
16:30 Error modeling and correction in Automatic Music Transcriptionvia note-level Music Language Models
Jose J. Valero-Mas, Andrew McLeod
16:40 CTC-based end-to-end approach for full page Optical Music Recognition
Antonio Ríos-Vila, Jorge Calvo-Zaragoza, José M. Iñesta
16:50 Error Detection in Symbolic Music for OMR Post-Processing
Timothy de Reuse, Ichiro Fujinaga
17:00 Closing
*Central European time
Proceedings
You can find the proceedings here