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INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising.

, , , , и . INTERSPEECH, стр. 2467-2471. ISCA, (2020)

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Embedded optimization algorithms for multi-microphone dereverberation., , , и . EUSIPCO, стр. 1-5. IEEE, (2013)A fast projected gradient optimization method for real-time perception-based clipping of audio signals., , , и . ICASSP, стр. 333-336. IEEE, (2011)Declipping of Audio Signals Using Perceptual Compressed Sensing., , , , , и . IEEE ACM Trans. Audio Speech Lang. Process., 21 (12): 2627-2637 (2013)Fully Convolutional Recurrent Networks for Speech Enhancement., , , , и . ICASSP, стр. 6674-6678. IEEE, (2020)Perception-based clipping of audio signals., , , , и . EUSIPCO, стр. 517-521. IEEE, (2010)Spectral Masking with Explicit Time-Context Windowing for Neural Network-Based Monaural Speech Enhancement., , , , , , и . CoRR, (2024)A psychoacoustically motivated speech distortion weighted multi-channel wiener filter for noise reduction., , , , и . ICASSP, стр. 4637-4640. IEEE, (2012)Separated Noise Suppression and Speech Restoration: Lstm-Based Speech Enhancement in Two Stages., , , , и . WASPAA, стр. 239-243. IEEE, (2019)Embedded-optimization-based loudspeaker compensation using a generic Hammerstein loudspeaker model., , , и . EUSIPCO, стр. 1-5. IEEE, (2013)Perception-based nonlinear loudspeaker compensation through embedded convex optimization., , , и . EUSIPCO, стр. 2472-2476. IEEE, (2012)