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ORCIDFederico Simonetta
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2020 – today
- 2024
[c11]Federico Simonetta
, Rishav Mondal, Luca Andrea Ludovico, Stavros Ntalampiras:
Optical Music Recognition in Manuscripts from the Ricordi Archive. Audio Mostly Conference 2024: 260-269- [c10]Federico Simonetta, Francesca Certo, Stavros Ntalampiras:
Joint Learning of Emotions in Music and Generalized Sounds. Audio Mostly Conference 2024: 302-307 - [i14]Nicolas Facchinetti, Federico Simonetta, Stavros Ntalampiras:
A Systematic Evaluation of Adversarial Attacks against Speech Emotion Recognition Models. CoRR abs/2404.18514 (2024) - [i13]Federico Simonetta, Francesca Certo, Stavros Ntalampiras:
Joint Learning of Emotions in Music and Generalized Sounds. CoRR abs/2408.02009 (2024) - [i12]Federico Simonetta, Rishav Mondal, Luca Andrea Ludovico, Stavros Ntalampiras:
Optical Music Recognition in Manuscripts from the Ricordi Archive. CoRR abs/2408.10260 (2024) - 2023
- [c9]Marco Nicolini, Federico Simonetta, Stavros Ntalampiras:
Lightweight Audio-Based Human Activity Classification Using Transfer Learning. ICPRAM 2023: 783-789 - [c8]Federico Simonetta, Ana Llorens, Martín Serrano, Eduardo García-Portugués, Álvaro Torrente:
Optimizing Feature Extraction for Symbolic Music. ISMIR 2023: 802-809 - [i11]Ana Llorens, Federico Simonetta, Martín Serrano, Álvaro Torrente:
musif: a Python package for symbolic music feature extraction. CoRR abs/2307.01120 (2023) - [i10]Federico Simonetta, Ana Llorens, Martín Serrano, Eduardo García-Portugués, Álvaro Torrente:
Optimizing Feature Extraction for Symbolic Music. CoRR abs/2307.05107 (2023) - 2022
- [j1]Federico Simonetta, Federico Avanzini, Stavros Ntalampiras:
A perceptual measure for evaluating the resynthesis of automatic music transcriptions. Multim. Tools Appl. 81(22): 32371-32391 (2022) - [c7]Alessandro Maria Poirè, Federico Simonetta, Stavros Ntalampiras:
Deep Feature Learning for Medical Acoustics. ICANN (4) 2022: 39-50 - [c6]Michele Cozzatti, Federico Simonetta, Stavros Ntalampiras:
Variational Autoencoders for Anomaly Detection in Respiratory Sounds. ICANN (4) 2022: 333-345 - [c5]Federico Simonetta, Stavros Ntalampiras, Federico Avanzini:
Acoustics-specific Piano Velocity Estimation. MMSP 2022: 1-7 - [i9]Federico Simonetta, Federico Avanzini, Stavros Ntalampiras:
A Perceptual Measure for Evaluating the Resynthesis of Automatic Music Transcriptions. CoRR abs/2202.12257 (2022) - [i8]Federico Simonetta, Stavros Ntalampiras, Federico Avanzini:
Context-aware Automatic Music Transcription. CoRR abs/2203.16294 (2022) - [i7]Federico Simonetta:
Music Interpretation Analysis. A Multimodal Approach To Score-Informed Resynthesis of Piano Recordings. CoRR abs/2205.00941 (2022) - [i6]Alessandro Maria Poirè, Federico Simonetta, Stavros Ntalampiras:
Deep Feature Learning for Medical Acoustics. CoRR abs/2208.03084 (2022) - [i5]Michele Cozzatti, Federico Simonetta, Stavros Ntalampiras:
Variational Autoencoders for Anomaly Detection in Respiratory Sounds. CoRR abs/2208.03326 (2022) - 2021
- [c4]Federico Simonetta, Stavros Ntalampiras, Federico Avanzini:
Audio-to-Score Alignment Using Deep Automatic Music Transcription. MMSP 2021: 1-6 - [i4]Federico Simonetta, Stavros Ntalampiras, Federico Avanzini:
Audio-to-Score Alignment Using Deep Automatic Music Transcription. CoRR abs/2107.12854 (2021) - 2020
- [i3]Federico Simonetta, Stavros Ntalampiras, Federico Avanzini:
ASMD: an automatic framework for compiling multimodal datasets. CoRR abs/2003.01958 (2020)
2010 – 2019
- 2019
- [c3]Luca Andrea Ludovico, Adriano Baratè, Federico Simonetta, Davide Andrea Mauro:
On the Adoption of Standard Encoding Formats to Ensure Interoperability of Music Digital Archives: The IEEE 1599 Format. DLfM 2019: 20-24 - [c2]Federico Simonetta, Carlos Eduardo Cancino Chacón, Stavros Ntalampiras, Gerhard Widmer:
A Convolutional Approach to Melody Line Identification in Symbolic Scores. ISMIR 2019: 924-931 - [i2]Federico Simonetta, Stavros Ntalampiras, Federico Avanzini:
Multimodal music information processing and retrieval: survey and future challenges. CoRR abs/1902.05347 (2019) - [i1]Federico Simonetta, Carlos Eduardo Cancino Chacón, Stavros Ntalampiras, Gerhard Widmer:
A Convolutional Approach to Melody Line Identification in Symbolic Scores. CoRR abs/1906.10547 (2019) - 2018
- [c1]Federico Simonetta, Filippo Carnovalini, Nicola Orio, Antonio Rodà:
Symbolic Music Similarity through a Graph-Based Representation. Audio Mostly Conference 2018: 26:1-26:7
Coauthor Index
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