Pedro Ramoneda — accepted AI-conference papers

2026

Benchmarking Music Autotagging with MGPHot Expert Annotations vs. Generic Tag Datasets

Pedro Ramoneda, Sergio Oramas, Xavier Serra

ICASSP 2026oral

Music autotagging aims to automatically assign descriptive tags, such as genre, mood, or instrumentation, to audio recordings. Due to its challenges, diversity of semantic descriptions, and practical value in various applications, it has become a common downstream task for evaluating the performance…

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2022

Score Difficulty Analysis for Piano Performance Education based on Fingering

Pedro Ramoneda, Nazif Can Tamer, Vsevolod Eremenko, Xavier Serra, Marius Miron

ICASSP 2022accepted

In this paper, we introduce score difficulty classification as a sub-task of music information retrieval (MIR), which may be used in music education technologies, for personalised curriculum generation, and score retrieval. We introduce a novel dataset for our task, Mikrokosmos-difficulty, containin…

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