Publications

Modeling 53-TET chord progressions with a microtonal GPT-2

D. Dalmazzo, K. Déguernel

AIMC 2026 — 7th Conference on AI Music Creativity, Berlin

Data-Driven Analysis of Musical Form and Harmonic Structure in AI-Generated Popular Music: A Case Study with Suno and Udio

D. Dalmazzo, B. L. T. Sturm, L. Cros Vila, L. Casini

Transactions of the International Society for Music Information Retrieval

A computer application to explore 53-tone equal temperament harmonies through modal interchange

D. Dalmazzo, K. Déguernel, B. L. T. Sturm

NIME 2025, Canberra, Australia

The AI music arms race: on the detection of AI-generated music

L. Cros Vila, B. L. T. Sturm, L. Casini, D. Dalmazzo

Transactions of the International Society for Music Information Retrieval

Data-driven analysis of text-conditioned AI-generated music: a case study with Suno and Udio

L. Casini, L. Cros Vila, D. Dalmazzo, A.-K. Kaila, B. L. T. Sturm

arXiv preprint

Error monitoring and correction in violin performance: an EEG study

Á. D. Blanco, J. Costa-Faidella, A. Pérez, D. Dalmazzo, R. Ramírez, I. SanMiguel

NeuroImage

ChromaFlow: modeling and generating harmonic progressions with a transformer and voicing encoding

D. Dalmazzo, K. Déguernel, B. L. T. Sturm

MML 2024 @ ECML/PKDD — Communications in Computer and Information Science, Springer

The Chordinator: modeling music harmony by implementing transformer networks and token strategies

D. Dalmazzo, K. Déguernel, B. L. T. Sturm

EvoMUSART 2024 — Lecture Notes in Computer Science, Springer

AI music studies: preparing for the coming flood

B. L. T. Sturm, K. Déguernel, R. S. Huang, A.-K. Kaila, P. Jääskeläinen, E. Kanhov, L. Cros Vila, L. Casini, D. Dalmazzo, et al.

AIMC 2024

MusAIcology: AI music and the need for a new kind of music studies

B. L. T. Sturm, K. Déguernel, R. Huang, A. Holzapfel, O. Bown, N. Collins, J. Sterne, L. Cros Vila, L. Casini, D. Dalmazzo, E. Drott, O. Ben-Tal

SocArXiv

Stochastic Pirate Radio (KSPR): generative AI applied to simulate community radio

B. L. T. Sturm, M. Amerotti, D. Dalmazzo, L. Cros Vila, L. Casini, E. Kanhov

AIMC 2024

The Chordinator: chord progression modeling and generation using transformers

D. Dalmazzo, K. Déguernel, B. L. T. Sturm

ISMIR 2023 (late-breaking demo)

Applying deep learning techniques to estimate patterns of musical gesture

D. Dalmazzo, G. Waddell, R. Ramírez

Frontiers in Psychology 11, 575971

Machine learning and deep neural networks approach to modelling musical gestures

D. Dalmazzo

PhD thesis, Universitat Pompeu Fabra

Mel-spectrogram analysis to identify patterns in musical gestures: a deep learning approach

D. Dalmazzo, R. Ramírez

MML 2020 @ ECML/PKDD

Bow gesture classification to identify three different expertise levels: a machine learning approach

D. Dalmazzo, R. Ramírez

ECML/PKDD 2019 Workshops — Communications in Computer and Information Science, Springer

Bowing gestures classification in violin performance: a machine learning approach

D. Dalmazzo, R. Ramírez

Frontiers in Psychology 10, 344

A machine learning approach to violin bow technique classification: a comparison between IMU and MOCAP systems

D. Dalmazzo, S. Tassani, R. Ramírez

5th International Workshop on Sensor-based Activity Recognition and Interaction (iWOAR)

Air violin: a machine learning approach to fingering gesture recognition

D. Dalmazzo, R. Ramírez

1st ACM SIGCHI International Workshop on Multimodal Interaction for Education (MIE), ICMI 2017

A virtual violin system based on gesture capture using EMG and position sensors

D. Dalmazzo, R. Ramírez

NIME 2017, Copenhagen

Mapping the language connectome in healthy subjects and brain tumor patients

G. Zegarek, X. D. Arsiwalla, D. Dalmazzo, P. F. M. J. Verschure

ICANN 2016 — Lecture Notes in Computer Science, Springer

Network dynamics with BrainX3: a large-scale simulation of the human brain network with real-time interaction

X. D. Arsiwalla, R. Zucca, A. Betella, E. Martínez, D. Dalmazzo, P. Omedas, G. Deco, P. F. M. J. Verschure

Frontiers in Neuroinformatics 9, 2

Connectomics to semantomics: addressing the brain's big data challenge

X. D. Arsiwalla, D. Dalmazzo, R. Zucca, A. Betella, S. Brandi, E. Martínez, P. Omedas, P. F. M. J. Verschure

INNS Conference on Big Data — Procedia Computer Science 53, 48–55

BrainX3: a virtual reality tool for neurosurgical intervention in epilepsy

D. Pacheco, R. Zucca, X. Arsiwalla, D. Dalmazzo, A. Principe, R. Rocamora, et al.