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Generative adversarial network-based approach to signal reconstruction from magnitude spectrogram., , , , , and . EUSIPCO, page 2514-2518. IEEE, (2018)ATTS2S-VC: Sequence-to-sequence Voice Conversion with Attention and Context Preservation Mechanisms., , , and . ICASSP, page 6805-6809. IEEE, (2019)Cyclegan-VC2: Improved Cyclegan-based Non-parallel Voice Conversion., , , and . ICASSP, page 6820-6824. IEEE, (2019)Multi-resolution signal decomposition with time-domain spectrogram factorization.. ICASSP, page 86-90. IEEE, (2015)Generative adversarial network-based postfilter for statistical parametric speech synthesis., , , , , and . ICASSP, page 4910-4914. IEEE, (2017)Non-negative periodic component analysis for music source separation., , , and . APSIPA, page 1-9. IEEE, (2016)Maximum reconstruction probability training of Restricted Boltzmann machines with auxiliary function approach., and . MLSP, page 1-6. IEEE, (2014)Multichannel Signal Separation Combining Directional Clustering and Nonnegative Matrix Factorization with Spectrogram Restoration., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 23 (4): 654-669 (2015)Deep acoustic-to-articulatory inversion mapping with latent trajectory modeling., , and . APSIPA, page 1274-1277. IEEE, (2017)New formulations and efficient algorithms for multichannel NMF., , , and . WASPAA, page 153-156. IEEE, (2011)