Citation: | OU Shifeng, SONG Peng, GAO Ying, “Laplacian Speech Model and Soft Decision Based MMSE Estimator for Noise Power Spectral Density in Speech Enhancement,” Chinese Journal of Electronics, vol. 27, no. 6, pp. 1214-1220, 2018, doi: 10.1049/cje.2018.09.009 |
C. Zhang, G.S. Morrison, E. Enzinger, et al., “Effects of telephone transmission on the performance of formanttrajectorbased forensic voice comparison—Female voices”, Speech Communication, Vol.55, No.6, pp.796-813, 2013.
|
K. Li, Q. Fu and Y. Yan, “Speech enhancement using robust generalized sidelobe canceller with multi-channel postfiltering in adverse environments”, Chinese Journal of Electronics, Vol.21, No.1, pp.85-90, 2012.
|
N. Yousefian, P.C. Loizou and J.H.L. Hansen, “A coherencebased noise reduction algorithm for binaural hearing aids”, Speech Communication, Vol.58, No.1, pp.101-110, 2014.
|
P.C. Loizou, Speech Enhancement: Theory and Practice (The 2nd ed). New York: CRC Press, 2013.
|
S.F. Boll, “Suppression of acoustic noise in speech using spectral subtraction”, IEEE Transactions on Acoustics, Speech, Signal Processing, Vol.27, No.2, pp.113-120, 1979.
|
I.Y. Soon and S.N. Koh, “Speech enhancement using 2-D Fourier transform”, IEEE Transactions on Speech and Audio Processing, Vol.11, No.6, pp.717-724, 2003.
|
H. Veisi and H. Sameti, “Speech enhancement using hidden Markov models in Mel-frequency domain”, Speech Communication, Vol.55, No.2, pp.205-220, 2013.
|
A. Saadoune, et al., “Perceptual subspace speech enhancement using variance of the reconstruction error”, Digital Signal Processing, Vol.24, No.1, pp.187-196, 2014.
|
X. Hu, S. Wang, et al., “A cepstrum-based preprocessing and postprocessing for speech enhancement in adverse environments”, Applied Acoustics, Vol.74, No.12, pp.1458-1462, 2013.
|
J. Chang, N.S. Kim and S.K. Mitra, “Voice activity detection based on multiple statistical models ”, IEEE Transactions on Signal Processing, Vol.54, No.6, pp.1965-1976, 2006.
|
M.W. Mak and H.B. Yu, “A study of voice activity detection techniques for NIST speaker recognition evaluations”, Computer Speech and Language, Vol.28, No.1, pp.295-313, 2014.
|
R. Martin, “Noise power spectral density estimation based on optimal smoothing and minimum statistics”, IEEE Transactions on Speech and Audio Processing, Vol.9, No.5, pp.504-512, 2001.
|
I. Cohen and B. Berdugo, “Noise estimation by minima controlled recursive averaging for robust speech enhancement”, IEEE Signal Processing Letters, Vol.9, No.1, pp.12-15, 2002.
|
I. Cohen, “Noise spectrum estimation in adverse environments: Improved minima controlled recursive averaging”, IEEE Transactions on Speech and Audio Processing, Vol.1, No.5, pp.466-475, 2003.
|
J.M. Kum, Y.S. Park and J.H. Chang, “Speech enhancement based on minima controlled recursive averaging incorporating conditional maximum a posteriori criterion”, IEEE International Conference on Acoustics, Speech and Signal Processing, Taipei, China, pp.4417-4420, 2009.
|
N. Fan, J. Rosca and R. Bala, “Speech noise estimation using enhanced minima controlled recursive averaging”, IEEE International Conference on Acoustics, Speech and Signal Processing, Honolulu, Hawaii, USA, pp.581-584, 2007.
|
T. Gerkmann and R.C. Hendriks, “Unbiased MMSE-based noise power estimation with low complexity and low tracking delay”, IEEE Transactions on Audio, Speech, and Language Processing, Vol.20, No.4, pp.1383-1393, 2012.
|
R. Yu, “A low-complexity noise estimation algorithm based on smoothing of noise power estimation and estimation bias correction”, IEEE International Conference on Acoustics, Speech and Signal Processing, Taipei, China, pp.4421-4424, 2009.
|
R.C. Hendriks, R. Heusdens and J. Jensen, “MMSE based noise PSD tracking with low complexity ”, IEEE International Conference on Acoustics, Speech and Signal Processing, Dallas, Texas, USA, pp.4266-4269, 2010.
|
Y.S. Park and J.H. Chang, “A probabilistic combination method of minimum statistics and soft decision for robust noise power estimation in speech enhancement”, IEEE Signal Processing Letters, Vol.15, No.1, pp.95-98, 2008.
|
R.C. Hendriks, et al., “Noise tracking using DFT domain subspace decompositions”, IEEE Transactions on Audio, Speech, and Language Processing, Vol.16, No.3, pp.541-553, 2008.
|
J. Taghia, J. Taghia, N. Mohammadiha, et al., “An evaluation of noise power spectral density estimation algorithms in adverse acoustic environments”, IEEE International Conference on Acoustics, Speech and Signal Processing, Prague, Czech Republic, pp.4640-4643, 2011.
|