1 citations · 1 across the 3 of their papers we have counts for
5 papers
HumMusQA: A Human-written Music Understanding QA Benchmark Dataset
Benno Weck, Pablo Puentes, Andrea Poltronieri +2
The evaluation of music understanding in Large Audio-Language Models (LALMs) requires a rigorously defined benchmark that truly tests whether models can perceive and interpret musi…
OMAR-RQ: Open Music Audio Representation Model Trained with Multi-Feature Masked Token Prediction
Pablo Alonso-Jiménez, Pedro Ramoneda, R. Oguz Araz +2
Developing open-source foundation models is essential for advancing research in music audio understanding and ensuring access to powerful, multipurpose representations for music in…
Knowledge-based Multimodal Music Similarity
Andrea Poltronieri
Music similarity is an essential aspect of music retrieval, recommendation systems, and music analysis. Moreover, similarity is of vital interest for music experts, as it allows st…
The Music Note Ontology
Andrea Poltronieri, Aldo Gangemi
In this paper we propose the Music Note Ontology, an ontology for modelling music notes and their realisation. The ontology addresses the relation between a note represented in a s…
The HaMSE Ontology: Using Semantic Technologies to support Music Representation Interoperability and Musicological Analysis
Andrea Poltronieri, Aldo Gangemi
The use of Semantic Technologies - in particular the Semantic Web - has revealed to be a great tool for describing the cultural heritage domain and artistic practices. However, the…