The Optimized Wavelet Filters and Real-Time Implementation of Speech Codec Base on DWT on TMS320C64xx

(*) Corresponding author

Authors' affiliations

DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)


This paper presents, optimized wavelet filters using windowing techniques and linear optimization, which are used as mother wavelets for speech compression based on wavelets. Proposed design and real-time implementation of the optimized speech codec based on discret wavelet transform (DWT), was performed. The comparison tests between the proposed optimized wavelet filters and others wavelets based on CR, SNR, PSNR and NRMSE computation, confirm the efficiency of the developed wavelet filters. The real-time implementation using DSP/BIOS tool, on the TMS320C6416 fixed-processor shows that the encoding and decoding algorithms satisfy the real-time processing.
Copyright © 2013 Praise Worthy Prize - All rights reserved.


Speech Compression; Discret Wavelet Transform; Quadrature Mirror Filter; Real-Time Processing; Real-Time Workshop; MTLAB/Simulink

Full Text:



Donoho, D.L., I.M. Johnstone, Ideal spatial adaptation by wavelet shrinkage, Biometrika, 1994, 81: pp. 425-455.

W. Kinsner and A. Langi, .Speech and Image Signal Compression with Wavelets, IEEE Wescanex Conference Proceedings, IEEE, New York, NY, 1993, pp. 368-375.

C6000 Integration Workshop, Student Guide, TI. 2005.

Fgee, E.B., Phillips, W.J. and Robertson, W. Comparing Audio Compression using Wavelets with other Audio Compression Schemes, IEEE Canadian Conference on Electrical and Computer Engineering, IEEE, Edmonton, Canada, 1999, pp. 698-701.

Johnson Ihyeh Agbinya, Discrete wavelet transform techniques in speech process, IEEE, Australia, 1996.

D. Hercog, M. Čurkovič, G. Edelbaher and E. Urlep, Programming of the DSP2 board with the Matlab/Simulink. In Proc. of IEEE ICIT 2003, Maribor, Slovenia, 2003, pp. 709-713.

D. Huffman, A Method for the Construction of Minimum Redundancy Codes, Proceedings of the IRE, vol. 40 (1952): 1098-1101.

Johnson Ihyeh Agbinya, Development of a wavelet transform based speech coder form concepts to codec, Unpublished research rapport, CSIRO division of radiophysics, Marsfiled, PO box 76, Epping, N.S.W.2121, Australia, 1995.

Shijo M Joseph, Babu Anto, Speech compression using wavelet transform, IEEE, International conference, 2011.

Real-Time Workshop Users Guide, The MathWorks, Inc., Natick, MA 01760-2098, 2011.

El-Bahlul F., PhillipsW. And Robertson W. Comparing audio compression using wavelets with other audio compression schemes, IEEE Canadian Conference on Electrical and Computer Engineering, vol.2, 1999, pp.698-701

R. Kastantin, D. Stefanoiu, G. Feng, N. Martin and M. Mrayati, .Optimal Wavelets for High Quality Speech Coding,. Pm. Of EUSIPCO-94, European Association for Signal Processing, Edinburgh, Scotland, 1994, pp. 399-402.

A. Kumar, G. K. Singh, and R. S. Anand, Near Perfect Reconstruction Quadrature Mirror Filter, World Academy of Science, Engineering and Technology, 2008.

A. Jain, R. Saxena, and S. C. Saxena, A simple alias free QMF system with near perfect reconstruction, Journal of Indian Institute Science, 2005.

A. Kumar, G.K. Singh, G. Rajesh, K. Ranjeet, The optimized wavelet filters for speech compression, Int J Speech Technol, Springer Science+Business Media, LLC, 2012

Hatem Elaydi, Speech compression using wavelets, “”

G. Rajesh, A. Kumar and K. Ranjeet, Speech Compression using Different Transform Techniques, IEEE International Conference on Computer and Communication Technology(ICCCT), pp. 146 - 151, 2011

W. Kinsner and A. Langi, Speech and Image Signal Compression with Wavelets, IEEE Wescanex Conference Proceedings, IEEE, New York, NY,1993, pp.368-375

Jing Pang, Speech Compression FPGA Design by Using Different Discrete Wavelet Transform Schemes, Advances in Electrical and Electronics Engineering - IAENG Special Edition of the World Congress on Engineering and Computer Science 2008, pp.21 -29

Anitha. K , Dharmistan. K. , N. J. R. Muniraj,FPGA Implementation of New Adaptive DWT-IDWT Lifting Technique for OFDM, European Journal of Scientific Research, , pp. 92-103, 2012.

Abid, K., Ouni, K., Ellouze, N., The sound compression model using a discrete wavelet transform and a dynamic gammachirp psychoacoustic model, (2010) International Review on Computers and Software (IRECOS), 5 (4), pp. 370-383.


  • There are currently no refbacks.

Please send any question about this web site to
Copyright © 2005-2024 Praise Worthy Prize