[1] |
LI F F, WU J, ZHAO Zh L, et al. Air coupled vibration detection of all-fiber laser Doppler vibrometer[J]. High Power Laser and Particle Beams, 2012, 24(11): 2549-2554(in Chinese). doi: 10.3788/HPLPB |
[2] |
YU G, WANG Sh G, YU J H. Technology of digital speckle pattern interferometry and its applications[J]. Laser Technology, 2002, 26(3): 237-240(in Chinese). |
[3] |
JING X J. Research and implementation of speech enhancement algorithm[D]. Hangzhou: Zhejiang University, 2005: 1-55(in Chinese). |
[4] |
YUE D G, XIE Zh W. A new method to evaluate nonlinear distortion[J]. Technical Acoustics, 2007, 26(1): 84-89(in Chinese). |
[5] |
XU Y, DU J, DAI L R, et al. A regression approach to speech enhancement based on deep neural networks[J]. IEEE-ACM Transactions on Audio Speech and Language Processing, 2013, 23(1): 7-19. |
[6] |
HUANG P S, MIN J K, MARK H J, et al. Joint optimization of masks and deep recurrent neural networks for monaural source separation[J]. IEEE-ACM Transactions on Audio Speech and Language Processing, 2015, 23(12): 2136-2147. doi: 10.1109/TASLP.2015.2468583 |
[7] |
HAN W, ZHANG X W, ZHOU X Y, et al. Joint optimization of deep neural networks and constrained Wiener filter for single channel speech enhancement[J]. Application Research of Computers, 2017, 34(3): 706-713(in Chinese). |
[8] |
YAO Y, WANG Q J, ZHOU W, et al. Research on speech enhancement based on spectral subtraction and neural network[J]. Electronic Measurement Technology, 2017, 40(7): 74-79(in Chinese). |
[9] |
LI W H, LIU M, ZHU Z G, et al. LDV remote voice acquisition and enhancement[J]. International Conference on Pattern Recognition, 2006, 20(24): 262-265. |
[10] |
LV T, ZHANG H Y, GUO J, et al. Acquisition and enhancement of remote voice based on laser coherent method[J]. Optics and Precision Engineering, 2017, 25(3): 569-575(in Chinese). doi: 10.3788/OPE. |
[11] |
QU Zh, ZHANG B H. An improved wavelet threshold algorithm applied in laser interception[J]. Laser Technology, 2014, 38(2): 218-224(in Chinese). |
[12] |
XU Y. Research on deep neural network based speech enhancement[D]. Hefei: University of Science and Technology of China, 2015: 55-75(in Chinese). |
[13] |
CHENG Y P, BU F L. Experiment study on phase perception in speech[J]. Acta Acustica, 2003, 28(1): 7-11(in Chinese). |
[14] |
HERMANS M, SCHRAUWEN B. Training and analyzing deep recurrent neural networks[R]. Lake Tahoe, USA: Proceedings of International Conference on Learning Representations(NIPS), 2013: 190-198. |
[15] |
WERBOS P J. Backpropagation through time: what it does and how to do it[J]. Proceedings of the IEEE, 1990, 78(10): 1550-1560. doi: 10.1109/5.58337 |
[16] |
HUO L, ZENG X D, AN Sh Y, et al. Vibration measurement and analysis by means of laser Doppler heterodyne principle[J]. Laser Technology, 2011, 35(5): 600-602(in Chinese). |
[17] |
LIANG N. Research on laser Doppler vibrometer with homodyne detection[D]. Beijing: The University of Chinese Academy of Sciences, 2014: 13-23(in Chinese). |
[18] |
VINCENT E, GRIBONVAL R, FEVOTTE C. Performance measurement in blind audio source separation[J]. IEEE Trans on Audio Speech & Language Processing, 2006, 14(4):1462-1469. |
[19] |
ZHANG L W, JIA Ch, ZHANG X W, et al. Speech enhancement based on convolutive nonnegative matrix factorization with sparseness constraints[J]. Journal of Data Acquisition and Processing, 2014, 29(2): 259-264(in Chinese). |