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20192026
most citedMultimodal music information processing and retrieval: survey and future challenges

50 citations · 61 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.SD20251 cited

Style-based Composer Identification and Attribution of Symbolic Music Scores: a Systematic Survey

Federico Simonetta

This paper presents the first comprehensive systematic review of literature on style-based composer identification and authorship attribution in symbolic music scores. Addressing t…

cs.SD20241 cited

Joint Learning of Emotions in Music and Generalized Sounds

Federico Simonetta, Francesca Certo, Stavros Ntalampiras

In this study, we aim to determine if generalized sounds and music can share a common emotional space, improving predictions of emotion in terms of arousal and valence. We propose…

cs.SD20247 cited

A Systematic Evaluation of Adversarial Attacks against Speech Emotion Recognition Models

Nicolas Facchinetti, Federico Simonetta, Stavros Ntalampiras

Speech emotion recognition (SER) is constantly gaining attention in recent years due to its potential applications in diverse fields and thanks to the possibility offered by deep l…

cs.SD2023

Optimizing Feature Extraction for Symbolic Music

Federico Simonetta, Ana Llorens, Martín Serrano +2

This paper presents a comprehensive investigation of existing feature extraction tools for symbolic music and contrasts their performance to determine the set of features that best…

cs.SD2023

musif: a Python package for symbolic music feature extraction

Ana Llorens, Federico Simonetta, Martín Serrano +1

In this work, we introduce musif, a Python package that facilitates the automatic extraction of features from symbolic music scores. The package includes the implementation of a la…

cs.SD2022

Music Interpretation Analysis. A Multimodal Approach To Score-Informed Resynthesis of Piano Recordings

Federico Simonetta

This Thesis discusses the development of technologies for the automatic resynthesis of music recordings using digital synthesizers. First, the main issue is identified in the under…