João Cabral is a research fellow at Trinity College Dublin, in the School of Computer Science and Statistics, as part of the ADAPT Centre. He received B.Sc. and M.Sc. degrees from Instituto Superior Técnico (IST), Lisbon, Portugal, in Electrical and Computer Engineering, in 2003 and 2006 respectively. He spent the final year of his B.Sc. at the Royal Institute of Technology (KTH), Sweden, under the programme Socrates-Erasmus, where he started working in speech signal processing funded by the Department of Signals, Sensors and Systems. In his MSc he developed the Pitch-Synchronous Time-Scaling (PSTS) algorithm which permits to transform glottal parameters by manipulating the estimated source signal in the time-domain. PSTS is a great contribution to high-quality voice conversion, e.g. applied to emotions in the EmoVoice system (J.P. Cabral and L. C. Oliveira, 2006) or speech recognition of children's speech (Shweta Ghai and Rohit Sinha, 2011) He was awarded a Ph.D. degree in Computer Science and Informatics from the University of Edinburgh, U.K., in 2010, funded by a European Commission Marie Curie Fellowship, under the Early Stage Research Training (E.S.T) scheme. His Ph.D. thesis contributed with the novel integration of an acoustic glottal source model in HMM-based speech synthesis, for improvement of speech quality and control over voice characteristics. Before joining Trinity College Dublin in 2013, he also worked as a postdoctoral research fellow at the University College Dublin, as part of the CNGL research centre, from 2010.