I am currently part of the EPSRC funded Centre for Doctoral Training in Intelligent Games and Game Intelligence, based in York, UK. From 2018 and in collaboration with Sony Interactive Entertainment Europe, I am researching about strategies to increase the efficiency in the creation of procedural audio models for video games by using DSP and machine learning approaches.
My main research interests are:
- Generative deep learning for sound synthesis.
- Machine learning to find out the best parameters for a synthesiser to generate a target sound.
Skills
- Machine learning and generative deep learning.
- Game audio and procedural sound design.
- Real-time audio programming (C/C++, Faust, ChucK, Pure Data…).
- Digital signal processing.
- Game Development (Unity, Unreal).
Bio
I have been enthusiastic about sound and more specifically about game audio since I began my studies. By the time I completed my HND in Creative Media Production in Madrid, I started working in the industry as a recording engineer in an ADR studio for the Spanish localisation of video games (such as Fallout 4, Until Dawn or Just Cause 3). I moved from Spain to the UK in 2015 to take a BA (top-up) in Music Production at the Southampton Solent University and an MSc in Sound Design at the University of Edinburgh immediately after. During that journey I focused my career in machine learning and procedural audio, and explored ways to create models for interactive applications by using different techniques.