MLLP member Alejandro Pérez González de Martos defended successfully today his PhD thesis on “Deep Neural Networks for Automatic Speech-To-Speech Translation of Open Educational Resources” at Universitat Politècnica de València.
Alejandro’s work for his dissertation has focused, quoting its abstract, on “enhancing the performance and widening the applicability of modern neural text-to-speech technologies in real-life settings, both in offline and streaming conditions, in the context of improving accessibility and engagement in online learning; thus, particular emphasis has been placed on speaker adaptation and cross-lingual voice cloning, as the input text corresponds to a translated utterance in this context”.
The full text of the dissertation can be found at the UPV’s institutional repository RiuNet: https://doi.org/10.4995/Thesis/10251/184019
The examining committee for Alejandro’s PhD defence was made up of Dr Vicent Botti Navarro (Univ. Politècnica de València), Dr Faraón Llorens Largo (Universitat d’Alacant) and Dr Eva Navas Cordón (University of the Basque Country). They awarded Alejandro’s dissertation the qualification of Excellent cum laude.
After his successful PhD defence, Alejandro has earned the title “Doctor en Informàtica” (PhD in Computer Science) according to the Valencian and Spanish university systems.
Alejandro’s advisors for his PhD thesis were the MLLP’s Dr Alfons Juan Ciscar and Dr Albert Sanchis Navarro. Some of the most significant results covered in Alejandro’s PhD thesis have also been featured in his previous publications.
All at the MLLP are proud to express congratulations to Alejandro on his hard-earned new title!
