deep.wav: Machine-Improvised Music Using Long Short-Term Memory Representation of Raw Audio

Lecture

Speaker(s)

Philip Spanoudes

Data Scientist, Square

Originally a software engineering graduate from the University of Portsmouth (UK), Philip became a data scientist after graduating with a master of science in data science from the University of Lancaster (UK). Philip performed exploratory research for Framed Data (acquired by Square in 2016) as part of his academic thesis in the space of customer-churn prediction using deep-learning techniques. He currently works at Square as a data scientist, where he initiated the deep learning research team as well as investigates the adoption of these techniques in the finance space.