1 |
Jong-Mo Kum, Yun-Sik Park and Joo-Hyuk Chang, "Speech Enhancement Based on Minima Controlled Recursive Averaging Incorporating Conditional Maximim a Posteriori Criterion," ICASSP Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 4417-4420, 2009
|
2 |
Young Woo Lee, Sang Min Lee, Yoon Sang Ji, Jong Shill Lee, Young Joon Chee, Sung Hwa Hong, Sun I. Kim, In Young Kim, "An Efficient Speech Enhancement Algorithm for Digital Hearing Aids Based on Modified Spectral Subtraction and Companding," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Volume E90-A, Issue 8, pp.1628-1635, August 2007
DOI
ScienceOn
|
3 |
Hasan T., Hasan M.K., "Suppression of Residual Noise From Speech Signals Using Empirical Mode Decomposition," Signal Processing Letters, IEEE, Vol.16, No.1, pp.2-5, 2009
DOI
|
4 |
Jong Won Shin and Nam Soo Kim, "Perceptual Reinforcement of Speech Signal Based on Partial Specific Loudness," IEEE SIGNAL PROCESSING LETTERS, VOL.14, NO.11, pp.887-890, NOVEMBER 2007
DOI
|
5 |
B. C. J. Moore, B. R. Glasberg, and T. Baer, "A model for the prediction of thresholds, loudness, and partial loudness," J. Audio Eng. Soc., vol.45, no. 4, pp. 224–240, Apr. 1997
|
6 |
Udrea R.M., Ciochina S., "Speech enhancement using spectral over-subtraction and residual noise reduction," Signals, Circuits and Systems, 2003. SCS 2003. International Symposium on , Vol.1, pp.165-168, 2003
|
7 |
N. Fan, J. Rosca, R. Balan, "Speech noise estimation using enhanced minima controlled recursive averaging," in Proc. ICASSP, Honolulu, Hawaii, U.S.A., pp. 581-584, Apr. 2007.
|
8 |
Zheng Wentao, Cao Zhigang, "Speech Enhancement Based On MMSE-STSA Estimation And Residual Noise Reduction," TENCON '91.1991 IEEE Region 10 International Conference on EC3-Energy, Computer, Communication and Control Systems, Vol.3, pp.265-268, 1991
|
9 |
Quackenbush, S.R. "Objective Measures of Speech Quality," Prentice-Hall, NJ, 1988
|
10 |
Cohen I., "Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging," IEEE Transactions on Speech and Audio Processing, vol. 11, no. 5, pp. 466-475, Sept. 2003.
DOI
ScienceOn
|
11 |
ISO 226 2003 Acoustics - Normal equal-loundnesslevel contours / By International Organization for Standardization (ISO). 2nd ed. Geneva: ISO, 2003.
|
12 |
Boll S., "A spectral subtraction algorithm for suppression of acoustic noise in speech," Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '79., Vol.4, pp.200-203, 1979
|
13 |
V. Stouten, H. V. hamme, P. Wambacq, "Application of minimum statistics and minima controlled recursive averaging methods to estimate a cepstral noise model for robust ASR,"in Proc. ICASSP, Toulouse, France, pp. 765-768, May. 2006.
|
14 |
Hu H.T. Yu C., "Adaptive noise spectral estimation for spectral subtraction speech enhancement," Signal Processing, IET, Vol.1 , No.3, pp.156-163 , 2007
DOI
ScienceOn
|
15 |
Beerends, John G., Hekstra, Andries P., Rix, Antony W., Hollier, Michael P., "Perceptual Evaluation of Speech Quality (PESQ) The New ITU Standard for End-to-End Speech Quality Assessment Part II: Psychoacoustic Model," J. Audio Eng. Society Volume 50 Issue 10 pp. 765-778; October 2002
|
16 |
Cohen I., "Noise estimation by Minima Controlled Recursive Averaging for Robust Speech Enhancement," IEEE signal processing letter, Vol. 9, no. 1, 2002, pp.12-15.
DOI
ScienceOn
|