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Recurrent Neural Networks and Acoustic Features for Frame-Level Signal-to-Noise Ratio Estimation.

, , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2021)

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Feature denoising for speech separation in unknown noisy environments., and . ICASSP, page 7472-7476. IEEE, (2013)A structure-preserving training target for supervised speech separation., and . ICASSP, page 6107-6111. IEEE, (2014)Learning spectral mapping for speech dereverberation., , and . ICASSP, page 4628-4632. IEEE, (2014)Exploring Monaural Features for Classification-Based Speech Segregation., , and . IEEE Trans. Speech Audio Process., 21 (2): 270-279 (2013)On training targets for supervised speech separation., , and . IEEE ACM Trans. Audio Speech Lang. Process., 22 (12): 1849-1858 (2014)Learning Spectral Mapping for Speech Dereverberation and Denoising., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 23 (6): 982-992 (2015)On Temporal Generalization of Simple Recurrent Networks., , and . Neural Networks, 9 (7): 1099-1118 (1996)SVM-based separation of unvoiced-voiced speech in cochannel conditions., and . ICASSP, page 4545-4548. IEEE, (2012)Phoneme-specific speech separation., , and . ICASSP, page 146-150. IEEE, (2016)Robust speech recognition from ratio masks., and . ICASSP, page 5720-5724. IEEE, (2016)