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@article{Rolet2018BlindSS, title={Blind Source Separation with Optimal Transport Non-negative Matrix Factorization}, author={Antoine Rolet and Vivien Seguy and Mathieu Blondel and Hiroshi Sawada}, journal={CoRR}, year={2018}, volume={abs/1802.05429} }

- Published 2018 in ArXiv

Optimal transport as a loss for machine learning optimization problems has recently gained a lot of attention. Building upon recent advances in computational optimal transport, we develop an optimal transport non-negative matrix factorization (NMF) algorithm for supervised speech blind source separation (BSS). Optimal transport allows us to design and leverage a cost between short-time Fourier transform (STFT) spectrogram frequencies, which takes into account how humans perceive sound. We give… CONTINUE READING