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Disentangling Correlated Speaker and Noise for Speech Synthesis via Data Augmentation and Adversarial Factorization.

, , , , , , and . ICASSP, page 5901-5905. IEEE, (2019)

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Feature denoising for speech separation in unknown noisy environments., and . ICASSP, page 7472-7476. IEEE, (2013)Learning spectral mapping for speech dereverberation., , and . ICASSP, page 4628-4632. IEEE, (2014)A structure-preserving training target for supervised speech separation., and . ICASSP, page 6107-6111. IEEE, (2014)Exploring Monaural Features for Classification-Based Speech Segregation., , and . IEEE Trans. Audio, Speech & Language Processing, 21 (2): 270-279 (2013)Memory bandwidth optimization of SpMV on GPGPUs., , , , , , , and . Frontiers of Computer Science, 9 (3): 431-441 (2015)A Novel Model of Working Set Selection for SMO Decomposition Methods., , , , , and . ICTAI (2), page 283-290. IEEE Computer Society, (2007)0-7695-3015-X.Uncovering Latent Style Factors for Expressive Speech Synthesis., , , , , , , and . CoRR, (2017)On training targets for supervised speech separation., , and . IEEE/ACM Trans. Audio, Speech & Language Processing, 22 (12): 1849-1858 (2014)Learning Spectral Mapping for Speech Dereverberation and Denoising., , , , , and . IEEE/ACM Trans. Audio, Speech & Language Processing, 23 (6): 982-992 (2015)Tacotron: Towards End-to-End Speech Synthesis., , , , , , , , , and 4 other author(s). INTERSPEECH, page 4006-4010. ISCA, (2017)