Abstract
In this paper, optimized wavelet filters for speech compression are proposed whose wavelet filter coefficients are derived with different window techniques such as Kaiser and Blackman windows via simple linear optimization. When the developed wavelet filters are exploited for speech compression, they not only give better compression ratio but also yield good fidelity parameters as compared to other wavelet filters. A comparative study of performance of different existing wavelet filters and the proposed wavelet filters is made in terms of compression ratio (CR), signal-to-noise ratio (SNR), peak signal-to-noise ratio (PSNR) and normalized root-mean square error (NRMSE) at different thresholding levels. The simulation result included in this paper shows increased efficacy and improved performance of the proposed filters in the field of speech signal processing.
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References
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.
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.
Daubechies, I. (1988). Orthonormal bases of compactly supported wavelets. Communications on Pure and Applied Mathematics, 41, 909–996.
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.
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.
Gershikov, E., & Porat, M. (2007). On color transforms and bit allocation for optimal subband image compression. Signal Processing. Image Communication, 22, 1–18.
Gersho, A. (1992). Speech coding. In A. N. Ince (Ed.), Digital speech processing (pp. 73–100). Boston: Kluwer Academic.
Gersho, A. (1994). Advance in speech and audio compression. Proceedings of the IEEE, 82(6), 900–918.
Gibson, J. D. (2005). Speech coding methods, standards, and applications. IEEE Circuits and Systems Magazine, 5(4), 30–49.
Joseph, S. M. (2010). Spoken digit compression using wavelet packet. In IEEE international conference on signal and image processing (ICSIP-2010) (pp. 255–259).
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).
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.
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.
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).
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.
Mallat, S. G. (1989). A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11, 674–693.
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.
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).
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.
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).
Ramchandran, K., Vetterli, M., & Herley, C. (1996). Wavelet, subband coding, and best bases. Proceedings of the IEEE, 84(4), 541–560.
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.
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.
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.
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).
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.
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.
Vetterli, M., & Kovacevic, J. (1995). Wavelets and subband coding. New York: Prentice Hall.
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.
Young, R. M. (1980). An introduction to nonharmonic Fourier series. New York: Academic Press.
Zois, E. N., & Anastassopoulos, V. (2000). Morphological waveform coding for writer identification. Pattern Recognition, 33(3), 385–398.
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Kumar, A., Singh, G.K., Rajesh, G. et al. The optimized wavelet filters for speech compression. Int J Speech Technol 16, 171–179 (2013). https://doi.org/10.1007/s10772-012-9173-1
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DOI: https://doi.org/10.1007/s10772-012-9173-1