The optimized wavelet filters for speech compression

• Agbinya, J. I. (1996). Discrete wavelet transform techniques in speech processing. In IEEE Tencon digital signal processing applications proceedings (pp. 514–519). New York: IEEE.

  Chapter  Google Scholar 

• Arif, M., & Anand, R. S. (2012). Turning point algorithm for speech signal compression. International Journal of Speech Technology. doi:10.1007/s10772-012-9151-7.

  Google Scholar 

• Daubechies, I. (1988). Orthonormal bases of compactly supported wavelets. Communications on Pure and Applied Mathematics, 41, 909–996.

  Article  MathSciNet  MATH  Google Scholar 

• Daubechies, I. (1992). Ten lectures on wavelets. CBMS-NSF.

• Dusan, S., Flanagan, J. L., Karve, A., & Balaraman, M. (2007). Speech compression using polynomial approximation. IEEE Transactions on Audio, Speech, and Language Processing, 15(2), 387–397.

  Article  Google Scholar 

• Fgee, E. B., Philips, W. J., & Robertson, W. (1999). Comparing audio compression using wavelet with other audio compression schemes. Proceedings IEEE Electrical and Computer Engineering, 2, 698–701.

  Google Scholar 

• Gershikov, E., & Porat, M. (2007). On color transforms and bit allocation for optimal subband image compression. Signal Processing. Image Communication, 22, 1–18.

  Article  Google Scholar 

• Gersho, A. (1992). Speech coding. In A. N. Ince (Ed.), Digital speech processing (pp. 73–100). Boston: Kluwer Academic.

  Chapter  Google Scholar 

• Gersho, A. (1994). Advance in speech and audio compression. Proceedings of the IEEE, 82(6), 900–918.

  Article  Google Scholar 

• Gibson, J. D. (2005). Speech coding methods, standards, and applications. IEEE Circuits and Systems Magazine, 5(4), 30–49.

  Article  Google Scholar 

• Joseph, S. M. (2010). Spoken digit compression using wavelet packet. In IEEE international conference on signal and image processing (ICSIP-2010) (pp. 255–259).

  Chapter  Google Scholar 

• Junejo, N., Ahmed, N., Unar, M. A., & Rajput, A. Q. K. (2005). Speech and image compression using discrete wavelet transform. In IEEE symposium on advances in wired and wireless communication (pp. 45–48).

  Google Scholar 

• Kumar, A., Singh, G. K., & Anand, R. S. (2008). Near perfect reconstruction quadrature mirror filter. International Journal of Computer Science and Engineering, 2(3), 121–123.

  Google Scholar 

• Laskar, R. H., Banerjee, K., Talukdar, F. A., & Sreenivasa Rao, K. (2012). A pitch synchronous approach to design voice conversion system using source-filter correlation. International Journal of Speech Technology, 15, 419–431.

  Article  Google Scholar 

• Magboun, H. M., Ali, N., Osman, M. A., & Alfandi, S. A. (2010). Multimedia speech compression techniques. In IEEE international conference on computing science and information technology (ICCSIT) (Vol. 9, pp. 498–502).

  Google Scholar 

• Mallat, S. G. (1987). A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Recognition and Machine Intelligence, 11(7), 674–684.

  Article  Google Scholar 

• Mallat, S. G. (1989). A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11, 674–693.

  Article  MATH  Google Scholar 

• McCauley, J., Ming, J., Stewart, D., & Hanna, P. (2005). Subband correlation and robust speech recognition. IEEE Transactions on Speech and Audio Processing, 13(5), 956–964.

  Article  Google Scholar 

• Misiti, M., Misiti, Y., Oppenheim, G., & Poggi, J. (2000). Matlab wavelet tool box. The Math Works Inc.

• Najih, A. M. M. A., Ramli, A. R., Ibrahim, A., & Syed, A. R. (2003). Speech compression using discreet wavelet transform. In Proceedings of 4th national conference on telecommunication technology (pp. 1–3).

  Chapter  Google Scholar 

• Ntalampiras, S., & Fakotakis, N. (2012). Modeling the temporal evolution of acoustic parameters for speech emotion recognition. IEEE Transactions on Affective Computing, 3(1), 116–125.

  Article  Google Scholar 

• Osman, M. A., Al, N., Magboud, H. M., & Alfandi, S. A. (2010). Speech compression using LPC and wavelet. In IEEE international conference on computer engineering and technology (ICCET) (Vol. 7, pp. 92–99).

  Google Scholar 

• Ramchandran, K., Vetterli, M., & Herley, C. (1996). Wavelet, subband coding, and best bases. Proceedings of the IEEE, 84(4), 541–560.

  Article  Google Scholar 

• Satt, A., & Malah, D. (1989). Design of uniform DFT filter banks optimized for subband coding of speech. IEEE Transactions on Acoustics, Speech, and Signal Processing, 37(11), 1672–1679.

  Article  Google Scholar 

• Shahin, I. M. A. (2012). Speaker identification investigation and analysis in unbiased and biased emotional talking environments. International Journal of Speech Technology, 15, 325–334.

  Article  Google Scholar 

• Shao, Y., & Chang, C. H. (2011). Bayesian separation with sparsity promotion in perceptual wavelet domain for speech enhancement and hybrid speech recognition. IEEE Transactions on Systems, Man and Cybernetics. Part A: System and Humans, 41(2), 284–293.

  Article  Google Scholar 

• Shlomot, E., Cuperman, V., & Gersho, A. (1998). Combined harmonic and waveform coding of speech at low bit rates. In IEEE conference on acoustics, speech and signal processing (ICASSP98) (Vol. 2, pp. 585–588).

  Google Scholar 

• Shlomot, E., Cuperman, V., & Gersho, A. (2001). Hybrid coding: combined harmonic and waveform coding of speech at 4 kb/s. IEEE Transactions on Speech and Audio Processing, 9(6), 632–645.

  Article  Google Scholar 

• Vankateswaran, P., Sanyal, A., Das, S., Nandi, R., & Sanyal, S. K. (2009). An efficient time domain speech compression algorithm based on LPC and sub-band coding techniques. Journal of Communication, 4(6), 423–428.

  Google Scholar 

• Vetterli, M., & Kovacevic, J. (1995). Wavelets and subband coding. New York: Prentice Hall.

  MATH  Google Scholar 

• Xie, N., Dong, G., & Zhang, T. (2011). Using lossless data compression in data storage systems: not for saving space. IEEE Transactions on Computers, 60(3), 335–345.

  Article  MathSciNet  Google Scholar 

• Young, R. M. (1980). An introduction to nonharmonic Fourier series. New York: Academic Press.

  MATH  Google Scholar 

• Zois, E. N., & Anastassopoulos, V. (2000). Morphological waveform coding for writer identification. Pattern Recognition, 33(3), 385–398.

  Article  Google Scholar 

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