AES New York 2017 Presenter or Author
Primary Affiliation: The Cooper Union for the Advancement of Science and Art - New York, NY, USA
Joseph Colonel is currently pursuing a master's degree in electrical engineering at the Cooper Union. He received his undergraduate degree in electrical engineering from the Cooper Union, focusing on signal processing. Joseph's research focuses on exploring applications of machine learning and neural nets to music and audio. Joseph's current interests include using audio to help explain latent spaces produced by autoencoding neural networks and how machine learning can intersect with artistic expression.
More Info: https://github.com/JTColonel
P08: Signal Processing
Improving Neural Net Auto Encoders for Music Synthesis (Author)