Web: http://arxiv.org/abs/2008.02027

June 17, 2022, 1:11 a.m. | Yunpeng Li, Beat Gfeller, Marco Tagliasacchi, Dominik Roblek

cs.LG updates on arXiv.org arxiv.org

We propose an audio-to-audio neural network model that learns to denoise old
music recordings. Our model internally converts its input into a time-frequency
representation by means of a short-time Fourier transform (STFT), and processes
the resulting complex spectrogram using a convolutional neural network. The
network is trained with both reconstruction and adversarial objectives on a
synthetic noisy music dataset, which is created by mixing clean music with real
noise samples extracted from quiet segments of old recordings. We evaluate our …

arxiv learning music

More from arxiv.org / cs.LG updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY