Welcome to my personal website!
I am Luca Resti, a PhD candidate at the University of York, UK.

Research

My research, conducted in collaboration with Electronic Arts (EA) SEED, aims to develop novel objective audio-visual signal quality assessment methodologies to support the quality assurance process for developers of interactive multimedia applications. As part of my PhD, I have developed SASE – a perceptually-weighted, intrusive metric for estimating acoustic scene complexity in channel-based audio – MAV-C – an audio-visual extension of SASE – and SHADE – a non-intrusive diffuseness estimator for ambisonic audio signals (IEEE TASLP submission in progress).

I have also won EPSRC IAA funding (grant reference EP/X525856/1) for a project titled XSQ-AST: An Explainable Audio Spectrogram Transformer Framework for Localising Synthetic Speech Artifacts. This project – in collaboration with EA SEED – resulted in a paper and a publicly available tool for localizing quality artifacts in synthetic speech.

Education

I obtained my BSc in Engineering of Computing Systems at Politecnico di Milano, Italy, and my MSc in Information and Communications Engineering at FAU Erlangen-Nürnberg, Germany. I was previously a research associate at the Fraunhofer Institute for Integrated Circuits IIS, where I worked on the development of the next-generation MPEG-H audio format, and researched the application of intelligibility metrics for predicting preferred speech-to-background loudness differences in source-separated audio.

I am currently doing a PhD in Computer Science at the University of York, and as part of the Sound Interactions in the Metaverse Centre for Doctoral Training (SIM CDT) at the AudioLab, in the school of Physics Engineering and Technology.