Alexandre Bittar is a PhD student and research assistant at Idiap Research Institute under Dr. Philip N. Garner's supervision. His research focuses on physiological models of speech prosody, with the use of deep learning methods, spiking neural networks and Bayesian techniques. The main objective is to generalise neural modelling to more closely mimic biological systems.
Previously he completed the BSc in Physics at the ETH Zürich. He then obtained the MSc in Acoustics and Music Technology at the University of Edinburgh. He worked as a R&D intern at NomadPlay working on audio source separation using deep learning approaches.
Speech processing, Audio processing, Deep Learning