Etudes
Matteo Pettenò is an incoming Marie Skłodowska-Curie doctoral researcher within the Privacy for Smart Speech Technology (PSST) program, jointly hosted by EURECOM (France) and Ruhr-Universität Bochum (Germany). His PhD research focuses on privacy-preserving speech technologies, with particular emphasis on disentangled representations for selective attribute suppression, contributing to the development of secure and trustworthy AI-driven communication systems.
In 2024, Matteo earned his Master’s degree in Music and Acoustic Engineering from Politecnico di Milano with highest honors (110/110 cum laude). His master’s thesis, “Latent Space Regularization via Normalizing Attribute Transformations for Symbolic Music Generation,” introduced novel approaches to controllable generative models for music, setting a foundation for advanced research in music information retrieval and AI-assisted composition.
He previously obtained a Bachelor’s degree in Information Engineering from the University of Padua, where his thesis evaluated the performance of commercial speech-to-text and named-entity recognition systems applied to digitized historical oral sources. Alongside his academic path, Matteo gained professional experience as a full-stack developer, DevOps engineer, and system integration engineer, building strong expertise at the intersection of software engineering, deep learning, and audio processing.
Matteo’s research interests lie at the crossroads of deep learning, speech processing, privacy preservation, and music information retrieval, enabling him to make meaningful contributions to next-generation communication and audio technologies.
- Portfolio: https://mpetteno.github.io/portfolio
- LinkedIn: https://www.linkedin.com/in/mpetteno
