Dr Richard Turner
Dr Richard Turner is pleased to consider applications from prospective PhD students.
My research lies at the interface between computer perception (which builds artificial systems for understanding images, sounds and videos), neuroscience (which tries to understand the brain) and machine-learning (which provides a theoretical framework for learning from data). The goal is to develop systems that solve important problems, drawing inspiration from the brain. For example, figuring out how many sound sources there are in an acoustic scene and what the individual contributions from each source are. There are medical and engineering applications of this work, such as in cochlear implants for the deaf. Importantly, the behaviour of these systems can also be compared to neural processing in the brain in order to better understand what the brain is doing.
Associated News Items
Berkes P, Turner RE, Sahani M (2009), “A structured model of video reproduces primary visual cortical organisation.” PLoS Comput Biol 5(9):e1000495 Details
Turner RE, Walters TC, Monaghan JJ, Patterson RD (2009), “A statistical, formant-pattern model for segregating vowel type and vocal-tract length in developmental formant data.” J Acoust Soc Am 125(4):2374-86 Details
Turner R, Sahani M (2007), “A maximum-likelihood interpretation for slow feature analysis.” Neural Comput 19(4):1022-38 Details
Smith DR, Patterson RD, Turner R, Kawahara H, Irino T (2005), “The processing and perception of size information in speech sounds.” J Acoust Soc Am 117(1):305-18 Details