AES New York 2018 Presenter or Author
Primary Affiliation: Tampere University of Technology - Tampere, Finland
Emre Cakir graduated from METU, Turkey with a BSc. with honor degree in Electronics Engineering in 2013. Then he completed his MSc. studies (signal processing major) with distinction in Tampere Univ. of Tech. (TUT), Finland in Jan, 2015. He is at the end stage of his PhD as a member of Audio Research Group in TUT, and also currently a SWE intern at Google NYC under supervision of Dan Ellis. He is mainly working on audio information retrieval (sound event detection, musical instrument classification/synthesis etc.) in real-life environments with deep convolutional and recurrent neural networks.
More Info: http://www.cs.tut.fi/~cakir/
P02: Signal Processing—Part 1 (Chair)
Musical Instrument Synthesis and Morphing in Multidimensional Latent Space Using Variational, Convolutional Recurrent Autoencoders (Author)