[1] B. Atal, “Effectiveness of linear prediction characteristics of the speech wave for automatic speaker identification and verification,” Journal of the Acoustical Society of America, vol. 55, pp. 1304–1312, 1974.
[2] P. Jain and H. Hermansky, “Improved mean and variance normalization for robust speech recognition,” in IEEE Int. Conf. Acoust., Speech and Signal Processing, 2001.
[3] X. Huang, A. Acero, and H-W Won, “Spoken Language Processing: A Guide to Theory, Algorithm, and System Development٫”Upper Saddle River, NJ: Prentice Hall, 2001.
[4] Y. Obuchi, N. Hataoka, and R. M. Stern, “Normalization of time-derivative parameters for robust speech recognition in small devices,” IEICE Transactions on Information and Systems, vol. 87-D, no. 4, pp. 1004-1011, 2004.
[5] C.Kim and R.M Stern,“Feature extraction for robust speech recognition based on maximizing the sharpness of the power distribution and on power flooring‚”in IEEE Int. Conf. On
[6] R. Balchandran and R.J. Mammone, “Non-parametric estimation and correction of non-linear distortion in speech systems,” in IEEE Int. Conf. on Acoust., Speech and Signal Processing, May 1998.
[7] S. Dharanipragada and M. Padmanabhan, “A nonlinear unsupervised adaptation technique for speech recognition,” in Int. Conf. on Spoken Language Processing, 2000, vol. 4, pp. 556–559.
[8] A. de la Torre et al., “Non-linear transformations of the feature space for robust speech recognition,” in IEEE Int. Conf. on Acoust., Speech and Signal Processing, 2002, pp. 401–404.
[9] F. Hilger‚ “Quantile based histogram equalization for noise robust speech recognition,” Ph.D. thesis, Computer Science Department, RWTH Aachen University, Aachen, Germany, 2004.
[10] H. Hermansky and N. Morgan, “RASTA processing of speech,” IEEE. Trans. Speech Audio Process., vol. 2, no. 4, pp. 578–58, 1994.
[11] B. E. D. Kingsbury, N. Morgan, and, S. Greenberg, “Robust speech recognition using the modulation spectrogram,” Speech Communication, vol. 25, no. 1–3, pp. 117–132, 1998.
[12] H. G. Hirsch and C. Ehrlicher, “Noise estimation techniques or robust speech recognition,” in IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, May 1995, pp. 153–156.
[13] C. Kim and R. M. Stern, “Nonlinear enhancement of onset for robust speech recognition,” in INTERSPEECH-2010, Sept. 2010, pp. 2058–2061.
[14] S. F. Boll, “Suppression of acoustic noise in speech using spectral subtraction,” IEEE Trans. Acoust., Speech and Signal Processing, vol. 27, no. 2, pp. 113–120, 1979.
[15] C. Kim and R. M. Stern, “Power function-based power distribution normalization algorithm for robust speech recognition,” in IEEE Automatic Speech Recognition and Understanding Workshop, pp.188-193, Dec. 2009.
[16] R.C. Gonzalez and R.E.Woods,“ Digital Image Processing, Pearson Prentice Hall, Upper Saddle Ridge, NewJersey, third edition, 2008.
[17] C. Kim, K. Kumar, and R.M. Stern, “Robust speech recognition using a small power boosting algorithm,” in IEEE Automatic Speech Recognition and Understanding Workshop, December 2009.
[18] M. Bijankhan and J. Sheikhzadegan, “FARSDAT – The Speech Database of Farsi Spoken Language,” Proc. 5th Australian Int. Conf. On Speech Science & Tech., vol. 2, pp. 826-831, 1994.
[19] SPIB, SPIB noise data. Available from:
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