MLLP member Javier Jorge Cano defended successfully today his PhD thesis on “Streaming Automatic Speech Recognition with Hybrid Architectures and Deep Neural Network Models” at Universitat Politècnica de València.
Javier’s work for his dissertation has focused, quoting its abstract, on “developing low-latency streaming ASR with a quality similar to offline ASR, […] [performing] a single recognition pass using state-of-the-art neural network-based language models […] [and] acoustic models […] properly adapted to work with limited context […] on well-known academic and challenging real-world benchmarks”.
The full text of the dissertation can be found at the UPV’s institutional repository RiuNet: https://doi.org/10.4995/Thesis/10251/191001
The examining committee for Javier’s PhD defence was made up of Dr Eva Onaindia de la Rivaherrera (Univ. Politècnica de València), Dr Eduardo Lleida Solano (Universidat de Zaragoza) and Dr Ralf Schlüter (RWTH Aachen University). They awarded Javier’s dissertation the qualification of Excellent cum laude.
After his successful PhD defence, Javier has earned the title “Doctor en Informàtica” (PhD in Computer Science) according to the Valencian and Spanish university systems.
Javier’s advisors for his PhD thesis were the MLLP’s Dr Alfons Juan Ciscar and Dr Jorge Civera Saiz. Some of the most significant results covered in Javier’s PhD thesis have also been featured in his previous publications.
Everyone at the MLLP are proud to express congratulations to Javier on his hard-earned new title!
