Application of Wavelet LPC Excitation Model for Speech Compression


  • Armein Z.R. Langi Research Center on Information and Communication Technology Information Technology RG, School of Electrical Engineering and Informatics Institut Teknologi Bandung, Jalan Ganeca 10, Bandung, 40116, Indonesia



This paper presents an application of linear predictive coding (LPC) excitation wavelet models for low bit- rate, high-quality speech compression. The compression scheme exploits the model properties, especially magnitude dependent sensitivity, scale dependent sensitivity, and limited frame length. We use the wavelet model in an open-loop dither based codebook scheme. With t his approach, the compression yields a signal-to-noise ratio of at least 11 dB at rates of 5 kbit/s and.


Download data is not yet available.


Markovic, M.Z, Speech Compression - Recent Advances and Standardization, 5th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service, 2001, TELSIKS 2001, 1, Page(s): 235 - 244, 19-21 Sept. 2001.

Campbell, Jr. J. P., Tremain, T. E. & Welch, V. C., The proposed Federal Standard 1016 4800 bps voice coder: CELP, Speech Technology, pp. 58-64, Apr./May 1990.

Paliwal, K.K. & Atal, B.S., Efficient Vector Quantization of LPC Parameters at 24 bits/ frame, IEEE Trans. Speech Audio Proc., IEEE 1063-6676/93, vol. 1, no. 1, pp. 3-14, Jan 1993.

Soong, F. K. & Juang, B-H, Optimal Quantization of LSP Parameters, IEEE Trans. Speech Audio Proc., IEEE 1063-6676/93, 1(1), pp. 15-24, Jan 1993.

Langi, A., Code-Excited Linear Predictive Coding for High-Quality And Low Bit-Rate Speech, M.Sc. Thesis, University of Manitoba, Winnipeg, MB, Canada, 138 pp., 1992.

Najih, A.M.M.A., Ramli, A.R., Ibrahim, A., Syed, A.R., Comparing speech compression using wavelets with other speech compression schemes, Proceedings, Student Conference on Research and Development, 2003, SCORED 2003, P:55 - 58, 25-26 Aug. 2003.

Najih, A.M.M.A., bin Ramli, A.R., Prakash, V., Syed, A.R., Speech compression using discreet wavelet transform, NCTT 2003 Proceedings. 4th National Conference on Telecommunication Technology, pp1 - 4, 14-15 Jan. 2003.

Parsons, T. W., Voice and Speech Processing. New York: McGraw-Hill, 402 pp., 1986.

Atal, B.S., A model of LPC excitation in terms of eigenvectors of the autocorrelation matrix of the impulse response of the LPC filter, in Proc. IEEE ICASSP, CH2673-2/89, pp. 45-48, 1989.

Xu, Y., Wang, G., Gu, Y. & Liu, H., A Novel Wavelet Packet Speech Enhancement Algorithm Based On Time-Frequency Threshold, ICICIC '07, Second International Conference on Innovative Computing,

Information and Control, 2007., P:492 - 492, 5-7 Sept. 2007.

Ofer, E. D., Malah, Dembo, A., A Unified Framework for LPC Excitation Representation in Residual Speech Coders, in Proc. IEEE ICASSP, CH2673-2/89, pp. 41-44, 1990.

Ferens, K. & Kinsner, W., Energy and Frequency Adaptive Wavelet Subband Coding for Wideband Audio Compression, Proc. 9th Int. Conf. on Math. and Comp. Modelling, 1993.

Daubechies, I., Ten Lectures on Wavelets, Philadelphia, Penn: SIAM, 357 pp., 1992.


How to Cite

Langi, A. Z. (2013). Application of Wavelet LPC Excitation Model for Speech Compression. Journal of Engineering and Technological Sciences, 40(1), 1-13.