The MTG has a significant participation to the 20th International Society for Music Information Retrieval Conference that takes place from November 4th to the 8th in Delf, The Netherlands. ISMIR is the world’s leading research forum on processing, searching, organizing and accessing music-related data. MTG's main contributions are the presentations of 6 papers in the main program, 2 tutorials, 3 late-breaking presentations, 2 presentations in the satellite workshop on Designing Human-Centric MIR Systems, and 1 presentation in the satellite 6th International Conference on Digital Libraries for Musicology. A part from these research presentations, Emilia Gomez is the general chair of the conference and co-organizer of the Workshop on Designing Human-Centric MIR Systems.

Here are the papers presented as part of the main program:

• L. Porcaro, E. Gomez. 20 Years of Playlists: A Statistical Analysis on Popularity and Diversity.  
• F. Yesiler, C. Tralie, A. Correya; D. Furtado Silva, P. Tovstogan, E. Gomez, & X. Serra. Da-TACOS: A Dataset for Cover Song Identification and Understanding.
• J. Pauwels, K. O'Hanlon, E. Gomez, & M. B. Sandler. 20 Years of Automatic Chord Recognition from Audio.
• T. Nuttall, M. García-Casado, V. Núñez-Tarifa, R. Caro Repetto, & X. Serra.  Contributing to new musicological theories with computational methods: The case of centonization in Arab-Andalusian music.
• D. Bogdanov, A. Porter, H. Schreiber, J. Urbano, & S. Oramas. The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale.
• F. Falcão, B. Bozkurt, X. Serra, N. Andrade, & O. Baysal.  A Dataset of Rhythmic Pattern Reproductions and Baseline Automatic Assessment System.

These are the tutorials in which we are involved:

• Fairness, Accountability and Transparency in Music Information Research (FAT-MIR) by Emilia Gómez, Andre Holzapfel, Marius Miron and Bob L. Sturm
• Waveform-based music processing with deep learning by Sander Dieleman, Jordi Pons and Jongpil Lee

These are our presentations in the late-breaking sessions:

• A. Ferraro, D. Bogdanov, X. Serra, J. H. Jeon, & J. Yoon. Improving Music Tagging from Audio with User-track Interactions.
• M. Won, S. Chun, O. Nieto, & X. Serra. Automatic Music Tagging with Harmonic CNN.
• J. Pons, & X. Serra. musicnn: Pre-trained Convolutional Neural Networks for Music Audio Tagging.

These are our papers presented at the Workshop on Designing Human-Centric MIR Systems:

• A. Ferraro, D. Bogdanov, X. Serra, & J. Yoon. Artist and Style Exposure Bias in Collaborative Filtering Based Music Recommendations.
• L. Porcaro, C. Castillo, & E. Gómez. Music Recommendation Diversity: A Tentative Framework and Preliminary Results.

This is our paper presented at the  6th International Conference on Digital Libraries for Musicology:

• D. M. Weigl, W. Goebl, T. Crawford, A. Gkiokas, N. F. Gutierrez, A. Porter, P. Santos C. Karreman, I. Vroomen, C. C. S. Liem, Á. Sarasúa, & M. van Tilburg. Interweaving and Enriching Digital Music Collections for Scholarship, Performance, and Enjoyment.