Laura Ibáñez is a Machine Learning Engineer and Researcher specializing in Music Information Retrieval (MIR) tasks, with a particular interest in generative music. After graduating in Electronics Engineering (UPC) and Music Studies (ESMUC), followed by a Master’s Degree in AI Research (UNED), she is currently a PhD student at Music Technology Group (MTG) in Barcelona.

Work experience

Music Technology Group (MTG) - Doctoral Student, 2024 - present

PIXELYNX - Machine Learning Engineer, 2023 - 2024

AudioShake - Machine Learning Engineer (freelance), 2023

Pixtunes GmbH - Machine Learning Engineer, 2019 - 2021

Education

Universitat Pompeu Fabra (UPF) - PhD in Information and Communication Technologies, 2024 - present

Universidad Nacional de Educación a Distancia (UNED) - Master’s Degree in Artificial Intelligence Research, 2021 - 2023

• Master’s Thesis: MIDI-AudioLDM: MIDI-Conditional Text-to-Audio Synthesis Using ControlNet on AudioLDM

Technische Universität Berlin (TU Berlin) - Erasmus+ Programme, 2018 - 2019

Universitat Politècnica de Catalunya (UPC) - Bachelor’s Degree in Industrial Electronics and Automatic Control Engineering, 2013 - 2019

Escola Superior de Música de Catalunya (ESMUC) - Bachelor of Music in Performance: Classical and Contemporary Music - guitar, 2013 - 2017

Applications

MIDI-AudioLDM - Sónar+D Project Area, 2023

Soundscape AI - Ars Electronica AIxMusic Online Hackathon, 2020

Other AI-related projects

Cellar Song for Five Voices - AI-generated text, voice and image, 2021

THISPERSONDOESNOTEXIST - AI-generated image, 2021

bod [包家巷] for PW-Magazine - AI-generated image, 2020