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Musical Noise Controllable Algorithm of Channelwise Spectral Subtraction and Adaptive Beamforming Based on Higher Order Statistics.

, , , , , and . IEEE Trans. Speech Audio Process., 19 (6): 1457-1466 (2011)

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Music Signal Separation Based on Supervised Nonnegative Matrix Factorization with Orthogonality and Maximum-Divergence Penalties., , , , , and . IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 97-A (5): 1113-1118 (2014)Theoretical Analysis of Musical Noise in Generalized Spectral Subtraction Based on Higher Order Statistics., , , , and . IEEE Trans. Speech Audio Process., 19 (6): 1770-1779 (2011)Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis., , , , and . Digit. Signal Process., 23 (1): 1-8 (2013)Musical-noise-free blind speech extraction integrating microphone array and iterative spectral subtraction., , , , , , and . Signal Process., (2014)Practically Efficient Blind Speech Separation Using Frequency Band Selection Based on Magnitude Squared Coherence and a Small Dodecahedral Microphone Array., , , and . J. Electr. Comput. Eng., (2012)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)A semi-blind source separation method with a less amount of computation suitable for tiny DSP modules., , and . INTERSPEECH, page 1339-1342. ISCA, (2009)Music signal separation using supervised NMF with all-pole-model-based discriminative basis deformation., , , , , , , and . EUSIPCO, page 1143-1147. IEEE, (2016)Toward musical-noise-free blind speech extraction: Concept and its applications., , , , , , and . APSIPA, page 1-10. IEEE, (2013)Superresolution-based stereo signal separation via supervised nonnegative matrix factorization., , , , , and . DSP, page 1-6. IEEE, (2013)