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Evaluation of audio source separation models using hypothesis-driven non-parametric statistical methods.

, , , , , , and . EUSIPCO, page 1763-1767. IEEE, (2016)

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Deep neural networks for single channel source separation., , and . ICASSP, page 3734-3738. IEEE, (2014)Discriminative Enhancement for Single Channel Audio Source Separation using Deep Neural Networks., , , and . CoRR, (2016)Two-Stage Single-Channel Audio Source Separation Using Deep Neural Networks., , , and . IEEE ACM Trans. Audio Speech Lang. Process., 25 (9): 1773-1783 (2017)Semi-blind Speech-Music Separation Using Sparsity and Continuity Priors., and . ICPR, page 4573-4576. IEEE Computer Society, (2010)Multi-Band Multi-Resolution Fully Convolutional Neural Networks for Singing Voice Separation., , and . EUSIPCO, page 261-265. IEEE, (2020)Multi-Band Multi-Resolution Fully Convolutional Neural Networks for Singing Voice Separation., , and . CoRR, (2019)Referenceless Performance Evaluation of Audio Source Separation using Deep Neural Networks., , , , and . CoRR, (2018)Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation., , , and . LVA/ICA, volume 10891 of Lecture Notes in Computer Science, page 340-350. Springer, (2018)Discriminative Enhancement for Single Channel Audio Source Separation Using Deep Neural Networks., , , and . LVA/ICA, volume 10169 of Lecture Notes in Computer Science, page 236-246. (2017)Regularized nonnegative matrix factorization using Gaussian mixture priors for supervised single channel source separation., and . Comput. Speech Lang., 27 (3): 746-762 (2013)