I'm a PhD student in Computer Science and Music at the Universidad de Zaragoza. I am interested in Artificial Intelligence, and in particular in its applications in the music field. I studied the Grado en Ingeniería de Tecnologías Industriales (Bachelor's degree) at the Universidad de Zaragoza and then the Master's Degree in Ingeniería Industrial which I finished in 2019 after doing my last year as an Erasmus at Politecnico di Milano. During my engineering degree studies I studied Viola at Conservatorio Profesional de Música de Zaragoza from 2003 to 2013 where I obtained the Elemental and Professional Certificates.
Musicaiz: A python library for symbolic music generation, analysis and visualization.
— SoftwareX, 2023
Carlos Hernandez-Olivan, Jose R. Beltran.
Music Composition with Deep Learning: A Review.
— Springer, 2022
Carlos Hernandez-Olivan, Jose R. Beltran.
A comparison of Deep Learning methods for Timbre analysis in Polyphonic Automatic Music Transcription.
— Electronics, 10(7), 2021
Carlos Hernandez-Olivan, Ignacio Zay Pinilla, Carlos Hernandez-Lopez, Jose R. Beltran.
Music Boundary Detection using Convolutional Neural Networks: A comparative analysis of combined input features.
— International Journal of Interactive Multimedia and Artificial Intelligence, 2021
Carlos Hernandez-Olivan, Jose R. Beltran, David Diaz-Guerra.
Music composition is becoming a popular research area in the Deep Learning community. Let's discover more about how Neural Networks can compose music and some of the open questions in the field.
I have been a volunteer at ISMIR's conference this year. It has been my first ever conference and this year was online. These are the things I liked the most and a review of the whole conference.