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Subspace-Based Noise Reduction for Speech Signals via Diagonal and Triangular Matrix Decompositions: Survey and Analysis.

, and . EURASIP J. Adv. Signal Process., (2007)

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On Optimal Filter Designs for Fundamental Frequency Estimation., , , and . IEEE Signal Process. Lett., (2008)Non-linguistic vocal event detection using online random forest., , , and . MIPRO, page 1326-1330. IEEE, (2014)Compressed domain packet loss concealment of sinusoidally coded speech., , , and . ICASSP (1), page 104-107. IEEE, (2003)Fast fundamental frequency estimation: Making a statistically efficient estimator computationally efficient., , , , and . Signal Process., (2017)An automatic model-building algorithm for sparse approximation of room impulse responses with Orthonormal Basis Functions., , , , and . IWAENC, page 248-252. IEEE, (2014)Improving the convergence of co-training for audio-visual person identification., , , , and . SPLINE, page 1-5. IEEE, (2016)Prewhitening for rank-deficient noise in subspace methods for noise reduction., and . IEEE Trans. Signal Process., 53 (10): 3718-3726 (2005)A Zone-of-Quiet Based Approach to Integrated Active Noise Control and Noise Reduction for Speech Enhancement in Hearing Aids., , , and . IEEE Trans. Speech Audio Process., 20 (6): 1685-1697 (2012)Total Variability Modeling Using Source-Specific Priors., , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 24 (3): 504-517 (2016)Coding and Enhancement in Wireless Acoustic Sensor Networks., , , , and . DCC, page 293-302. IEEE, (2015)