Matthew Aylett is an applied AI researcher and entrepreneur with 13 years formally recorded experience and over two decades advancing speech synthesis, HCI, and digital narrative from lab prototypes to commercial products. As co-founder and CSO of Cereproc and now Associate Professor in Applied AI at Heriot-Watt, he sets technical strategy while bridging research on expressive, characterful voices with real-world deployment and commercialization. His academic pedigree (PhD in phonetics/prosody, MSc in speech technology) underpins a rare combination of deep signal-level expertise and production engineering—he was chief architect of unit-selection systems and led industrial-grade voice-building and evaluation toolchains. Passionate about pushing speech into the social domain, he investigates the ethics and technical limits of deep audio fakes and personality-driven embodied agents. Based in Edinburgh, he blends commercial instinct with scholarly inquiry, frequently translating Royal Society- and government-funded research into market-ready voice technologies.
13 years of coding experience
7 years of employment as a software developer
PhD, Phonetics, Dialogue, Prosody, PhD, Phonetics, Dialogue, Prosody at The University of Edinburgh
BaHons, Computing and Artificial Intelligence, BaHons, Computing and Artificial Intelligence at University of Sussex
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