C. Hernandez-Olivan

DCASE B. T. Nguyen, M. Yasuda, N. Harada, R. Serizel, M. Mishra, M. Delcroix, C. Hernandez-Olivan, S. Araki, D. Takeuchi, T. Nakatani, N. Ono, "Description and discussion on DCASE 2026 challenge task 4: Spatial semantic segmentation of sound scenes" in DCASE Challenge Technical Report, 2026.

IWAENC C. Hernandez-Olivan, M. Delcroix, T. Ochiai, N. Tawara, S. Araki, "Ontology-based Target Sound Extraction" in IWAENC, 2026.

ICASSP C. Hernandez-Olivan*, V. Koops*, H. H. Tan, E. Quinton, "Single-step Controllable Music Bandwidth Extension with Flow Matching" in ICASSP, pp. 1–5, 2026.

NeurocomputingQ1 C. Hernandez-Olivan, J. R. Beltran, "Symbolic music structure analysis with graph representations and changepoint detection methods". Neurocomputing, vol. 666, 132208, 2026. (IF: 6.5, Q1)

ICASSP C. Hernandez-Olivan, M. Delcroix, T. Ochiai, D. Niizumi, N. Tawara, T. Nakatani, S. Araki, "SoundBeam meets M2D: Target Sound Extraction with Audio Foundation Model" in ICASSP, pp. 1–5, 2025.

IWAENC C. Hernandez-Olivan, M. Delcroix, T. Ochiai, N. Tawara, T. Nakatani, S. Araki, "Interaural time difference loss for binaural target sound extraction" in IWAENC, pp. 210–214, 2024.

ICASSP C. Hernandez-Olivan, K. Saito, N. Murata, C.H. Lai, W. Liao, Y. Mitsufuji, "VRDMG: Vocal Restoration via Diffusion Posterior Sampling with Multiple Guidance" in ICASSP, pp. 596–600, 2024.

SoftwareXQ2 C. Hernandez-Olivan, J. R. Beltran, "musicaiz: A Python Library for Symbolic Music Generation, Analysis and Visualization". SoftwareX, vol. 22, 101365, 2023. (IF: 2.4, Q2)

Springer C. Hernandez-Olivan, J. R. Beltran, "Music Composition with Deep Learning: A Review". Advances in Speech and Music Technology, Springer, 2022.

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

IJIMAIQ2 C. Hernandez-Olivan, J. R. Beltran, D. Diaz-Guerra, "Music Boundary Detection using Convolutional Neural Networks: A Comparative Analysis of Combined Input Features". IJIMAI, vol. 7, no. 2, pp. 78–88, 2021. (IF: 3.137, Q2)

ElectronicsQ3 C. Hernandez-Olivan, C. Hernandez Lopez, I. Zay, J. R. Beltran, "A Comparison of Deep Learning Methods for Timbre Analysis in Polyphonic Automatic Music Transcription". Electronics, vol. 10, no. 7, 810, 2021. (IF: 2.397, Q3)

arXiv C. Hernandez-Olivan, J. R. Beltran, "Timbre Classification of Musical Instruments with a Deep Learning Multi-Head Attention-Based Model". 2021.

i3A C. Hernandez-Olivan, I. Zay Pinilla, J. R. Beltran, "Timbre Comparison in Note Tracking from Onset, Frames and Pitch Estimation". Jornada de Jóvenes Investigadores del I3A, 2020.

2025   Advances in Music Technology with Deep Learning: From Music Analysis to Production. PhD in Electronics. Dir. José R. Beltrán. Cum Laude. University of Zaragoza.

2019   Music Analysis with Artificial Intelligence. MSc in Industrial Engineering. Dir. José R. Beltrán. 8.0/10. University of Zaragoza.

2017   Musical Composition with a Neural Network. BSc in Industrial Technologies. Dir. José R. Beltrán. 9.5/10 — Honorary Distinction. University of Zaragoza.

1 submitted — June 2026.

DCASE 2026 Task 4 — Spatial Semantic Segmentation of Sound Scenes