The MTG participates in the 26th International Society for Music Information Retrieval Conference (ISMIR 2025)

The MTG participates in the 26th International Society for Music Information Retrieval Conference (ISMIR 2025)

The conference takes place in Daejeon, Korea, from September 21 to 25, 2025
09.09.2025
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The ISMIR conference is the world’s leading research forum on processing, analysis, indexing, organizing, and retrieval of music-related data. At this year’s ISMIR, MTG researchers are presenting several research results.
 
In the Scientific Programme, the following papers are authored/co-authored by MTG members:
 
Roser Batlle-Roca, Laura Ibáñez, Xavier Serra, Emilia Gómez, Martín Rocamora. Musgo: a Community Driven Framework for Assessing Openness in Music Generative AI
 
Guillem Cortès, Benjamin Martin, Emilio Molina, Xavier Serra, Romain Hennequin. Peaknetfp: Peak Based Neural Audio Fingerprinting Robust to Extreme Time Stretching.
 
R. Oguz Araz, Guillem Cortès, Emilio Molina, Joan Serrà, Xavier Serra, Yuki Mitsufuji, Dmitry Bogdanov. Enhancing Neural Audio Fingerprint Robustness to Audio Degradation for Music Identification.
 
 
 
Alia Morsi, Suhit Chiruthapudi, Silvan Peter, Ivan Pilkov, Laura Bishop, Akira Maezawa, Xavier Serra, Carlos Eduardo Cancino Chacón. Enabling Empirical Analysis of Piano Performance Rehearsal with the Rach3 MIDI Dataset.
 

Late-Breaking Demo session presentation:

P. Ramoneda, M. Suzuki, A. Maezawa, and X. Serra. Towards Personalized Piano Practice Material
 

In the satelite workshop on Human-Centric Music Information Research (HCMIR25), the following papers are being presented:
 
Raquel Lucena and Rafael Ramírez. An Accessible Digital Musical Instrument for Inclusive Music Therapy.
 
 

Seung-Goo Kim, Pablo Alonso-Jiménez, Dmitry Bogdanov and Daniela Sammler. ManyMusic: An open-access music audio dataset for human experiments on musical emotions

Some of these works and the organization of HCMIR25 are supported by:

Cátedra UPF-BMAT en Inteligencia Artificial y Música (TSI-100929-2023-1). Project funded by Secretaría de Estado de Digitalización e Inteligencia Artificial, the European Union-Next Generation EU, and by BMAT Music Innovators, the Music Operating System

 

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