2026

Single-step Controllable Music Bandwidth Extension with Flow Matching
Carlos Hernandez-Olivan*, V. Koops*, H. H. Tan, E. Quinton.
ICASSP, 2026

arxiv

2025

Symbolic music structure analysis with graph representations and changepoint detection methods
Carlos Hernandez-Olivan, J.R. Beltran.
Neurocomputing, 2025

Elsevier

SoundBeam meets M2D: Target Sound Extraction with Audio Foundation Model
Carlos Hernandez-Olivan, Marc Delcroix, Tsubasa Ochiai, Daisuke Niizumi, Naohiro Tawara, Tomohiro Nakatani, Shoko Araki.
ICASSP, 2025

arxiv IEEE

2024

Interaural time difference loss for binaural target sound extraction
Carlos Hernandez-Olivan, Marc Delcroix, Tsubasa Ochiai, Naohiro Tawara, Tomohiro Nakatani, Shoko Araki.
IWAENC, 2024

arxiv IEEE Poster

VRDMG: Vocal restoration via diffusion posterior sampling with multiple guidance
Carlos Hernandez-Olivan, Koichi Saito, Naoki Murata, Chieh-Hsin Lai, Marco A Martínez-Ramirez, Wei-Hsiang Liao, Yuki Mitsufuji.
ICASSP, 2024

arxiv IEEE demos Poster

2023

musicaiz: A Python Library for Symbolic Music Generation, Analysis and Visualization.
Carlos Hernandez-Olivan, Jose R. Beltran.
SoftwareX, 2023

Cite DOI arxiv GitHub Docs

2022

Music Composition with Deep Learning: A Review.
Carlos Hernandez-Olivan, Jose R. Beltran.
Advances in Speech and Music Technology: Computational Aspects and Applications, 2022

Cite DOI arxiv GitHub

Subjective Evaluation of Deep Learning Models for Symbolic Music Composition.
Carlos Hernandez-Olivan, Jorge Abadias Puyuelo, Jose R. Beltran.
Workshop on Generative AI and HCI (GenAICHI), 2022

Cite arxiv

2021

Music Boundary Detection using Convolutional Neural Networks: A comparative analysis of combined input features.
Carlos Hernandez-Olivan, Jose R. Beltran, David Diaz-Guerra.
International Journal of Interactive Multimedia and Artificial Intelligence, 2021

Cite DOI arXiv GitHub Web

Timbre Classification of Musical Instruments with a Deep Learning Multi-Head Attention-Based Model.
Carlos Hernandez-Olivan, Jose R. Beltran.
2021

Cite arxiv

A comparison of Deep Learning methods for Timbre analysis in Polyphonic Automatic Music Transcription.
Carlos Hernandez-Olivan, Ignacio Zay Pinilla, Carlos Hernandez-Lopez, Jose R. Beltran.
Electronics, 10(7), 2021

Cite DOI

2020

Timbre Comparison in Note Tracking from Onset, Frames and Pitch Estimation.
Carlos Hernandez-Olivan, Ignacio Zay Pinilla, Jose R. Beltran.
Jornada de Jovenes Investigadores del I3A, 2020

Poster PDF

Theses

Advances in Music Technology with Deep Learning: From Music Analysis to Production.
2024
Dir. Jose R. Beltran
Doctor of Philosophy.

Music Analysis with Artificial Intelligence.
2019
Dir. Jose R. Beltran
Master en Ing. Insustrial. 8.0/10.0

PDF

Musical Composition with a Neural Network.
2017
Dir. Jose R. Beltran
Grado en Ing. de Tecnologias Insustriales. Honorary Distinction 9.5/10.0

PDF