Alessandro De Luca MSc (Zurich) has been conducting phonetic research since 2022 at the University of Zurich, Switzerland. His studies focus on the definition and analysis of the “vocal identity space” in humans, in particular on how different contexts affect vocal identity in production and in perception. His background is in Biology, Animal Communication, and Data Analysis (MSc in Animal Behaviour and Data Analysis for Natural Sciences, 2022).
Alessandro is proficient in contemporary programming languages with a focus on machine learning and artificial intelligence approaches. As part of his research, he frequently builds tools for automatic processing of recorded sound and data analysis. He has a central interest in exploring the boundaries of performance of new technologies in forensic speech analysis. He authors and co-authors scientific papers and presents research at international conferences.