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Holly Herndon |
Machine Learning & the Creative Process Over the last few years Holly Herndon has developed, raised and taught her A.I. baby named Spawn. In this artist talk, she’ll discuss her unique approach to A.I., how it feeds her creative process, and the future of A.I. research. |
Jason Hockman |
Advances in breakbeat analysis, synthesis and rhythm transformation |
David Kant |
Machine Listening as a Generative Model: Machine Learning for Music Composition |
Bryan Pardo |
Using machine learning to improve voice recording, remix music and transcribe melodies |
Jesse Engel |
Neural Audio Synthesis for Music |
Alexander Lerch |
Audio Content Analysis |
Fabian-Robert Stöter and Stefan Uhlich |
Current Trends in Audio Source Separation |
JT Colonel and Christian Steinmetz |
Deep Learning Approaches to Multitrack Mixing |
Ishwarya Ananthabhotla |
“Cognitive Audio”: Enabling Machine Learning Systems with an Understanding of How We Hear |
Scott H. Hawley (Belmont University) |
Learning Tunable Audio Effects via Neural Networks with Self-Attention |
Stephen Travis Pope (FASTLab, TRQK) |
30 Years of Music Information Retrieval Applications |
Jordie Shier (University of Victoria) |
Programming Synthesizers with Deep Learning Networks |
Ethan Manilow (Northwestern University) |
Synthesize, Separate, and Repeat: Some Notes on Incorporating Notes into Source Separation |
Cumhur Erkut (Aalborg University Copenhagen) |
Developing a single-channel speech denoising algorithm with deep learning |
Cumhur Erkut (Aalborg University Copenhagen) |
Towards Differentiable Sound and Music Computing |
Marko Stamenovic (Bose) |
TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids |
Yugo Mafra Kuno, Bruno Sanches Masiero, and Nilesh Madhu (School of Electrical and Computer Engineering, University of Campinas) |
Analysis of a neural network approach to linear beamforming |
Shubhr Singh (Queen Mary University of London) |
Parameter automation for dynamic range compression using a siamese neural network and reference audio |
Jonathan D Ziegler (Stuttgart Media University, University of Tuebingen) |
An End-to-End Approach to Neural Filter-and-Sum Beamforming |
Ana Gabriela Pandrea (Universitat Pompeu Fabra) |
End-to-End Music Emotion Recognition: Towards Language-Sensitive Models |
Justin Swaney (Samply, Inc.) |
Deep audio embeddings for automatic sample labeling and visualization |
Danilo Comminiello (Sapienza University of Rome) |
Learning 3D Sound Sources in the Quaternion Domain |