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A fast projected gradient optimization method for real-time perception-based clipping of audio signals., , , and . ICASSP, page 333-336. IEEE, (2011)Embedded optimization algorithms for multi-microphone dereverberation., , , and . EUSIPCO, page 1-5. IEEE, (2013)Declipping of Audio Signals Using Perceptual Compressed Sensing., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 21 (12): 2627-2637 (2013)Speech enhancement by LSTM-based noise suppression followed by CNN-based speech restoration., , , , and . EURASIP J. Adv. Signal Process., 2020 (1): 49 (2020)Fully Convolutional Recurrent Networks for Speech Enhancement., , , , and . ICASSP, page 6674-6678. IEEE, (2020)Perception-based clipping of audio signals., , , , and . EUSIPCO, page 517-521. IEEE, (2010)Real-Time Perception-Based Clipping of Audio Signals Using Convex Optimization., , , , and . IEEE Trans. Speech Audio Process., 20 (10): 2657-2671 (2012)Embedded-Optimization-Based Loudspeaker Precompensation Using a Hammerstein Loudspeaker Model., , , and . IEEE ACM Trans. Audio Speech Lang. Process., 22 (11): 1648-1659 (2014)A psychoacoustically motivated speech distortion weighted multi-channel wiener filter for noise reduction., , , , and . ICASSP, page 4637-4640. IEEE, (2012)INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising., , , , and . INTERSPEECH, page 2467-2471. ISCA, (2020)