The Effect of Different Compression Schemes on Speech Signals
This paper studies the effect of different compression
constraints and schemes presented in a new and flexible paradigm to
achieve high compression ratios and acceptable signal to noise ratios
of Arabic speech signals. Compression parameters are computed for
variable frame sizes of a level 5 to 7 Discrete Wavelet Transform
(DWT) representation of the signals for different analyzing mother
wavelet functions. Results are obtained and compared for Global
threshold and level dependent threshold techniques. The results
obtained also include comparisons with Signal to Noise Ratios, Peak
Signal to Noise Ratios and Normalized Root Mean Square Error.
[1] Y. T. Chan "Wavelet Basics", Kluwer Academic Publishers, 1995.
[2] C. Taswell, "Speech Compression with Cosine and Wavelet Packet
Near-Best Bases", ICASSP-96. Conference Proceedings, IEEE
International Conference on Acoustics, Speech and Signal Processing,
Vol.1, pp: 566 - 568, 1996.
[3] E. Fgee, W. J. Phillips, W.Robertson "Comparing Audio Compression
Using Wavelets With Other Audio Compression Schemes", IEEE,
CCECE Conference Edmonton, Alberta, Canada. May 9-12, pp: 698-
701, 1999.
[4] N. M. Hosny, S. H. El-Ramly, M. H. El-Said, "Novel Techniques for
Speech Compression Using Wavelet Transform", ICM '99. 11th
International Conference on Microelectronics, pp: 225 - 229, 1999.
[5] http://www.mathworks.com/academia MATLAB Wavelet Toolbox 2.
[6] O. Rioul and M. Vetterli, "Wavelets and Signal Processing", IEEE
Signal Process. Mag. Vol 8, pp. 14-38, Oct. 1991.
[7] J. I. Agbinya, "Discrete Wavelet Transform Techniques in Speech
Processing," IEEE Digital Signal Processing Applications Proceedings,
IEEE, New York, pp: 514 - 519, 1996.
[8] J. F. Koegel Buford, "Multimedia Systems", ACM Press, 1994.
[9] G. Strang and T. Nguyen, "Wavelets and Filter Banks", Wellesley-
Cambridge Press, 1996.
[10] J. S. Walker, "Wavelets and their Scientific Applications", Chapman and
Hall/CRC, 1999.
[1] Y. T. Chan "Wavelet Basics", Kluwer Academic Publishers, 1995.
[2] C. Taswell, "Speech Compression with Cosine and Wavelet Packet
Near-Best Bases", ICASSP-96. Conference Proceedings, IEEE
International Conference on Acoustics, Speech and Signal Processing,
Vol.1, pp: 566 - 568, 1996.
[3] E. Fgee, W. J. Phillips, W.Robertson "Comparing Audio Compression
Using Wavelets With Other Audio Compression Schemes", IEEE,
CCECE Conference Edmonton, Alberta, Canada. May 9-12, pp: 698-
701, 1999.
[4] N. M. Hosny, S. H. El-Ramly, M. H. El-Said, "Novel Techniques for
Speech Compression Using Wavelet Transform", ICM '99. 11th
International Conference on Microelectronics, pp: 225 - 229, 1999.
[5] http://www.mathworks.com/academia MATLAB Wavelet Toolbox 2.
[6] O. Rioul and M. Vetterli, "Wavelets and Signal Processing", IEEE
Signal Process. Mag. Vol 8, pp. 14-38, Oct. 1991.
[7] J. I. Agbinya, "Discrete Wavelet Transform Techniques in Speech
Processing," IEEE Digital Signal Processing Applications Proceedings,
IEEE, New York, pp: 514 - 519, 1996.
[8] J. F. Koegel Buford, "Multimedia Systems", ACM Press, 1994.
[9] G. Strang and T. Nguyen, "Wavelets and Filter Banks", Wellesley-
Cambridge Press, 1996.
[10] J. S. Walker, "Wavelets and their Scientific Applications", Chapman and
Hall/CRC, 1999.
@article{"International Journal of Engineering, Mathematical and Physical Sciences:60429", author = "Jalal Karam and Raed Saad", title = "The Effect of Different Compression Schemes on Speech Signals", abstract = "This paper studies the effect of different compression
constraints and schemes presented in a new and flexible paradigm to
achieve high compression ratios and acceptable signal to noise ratios
of Arabic speech signals. Compression parameters are computed for
variable frame sizes of a level 5 to 7 Discrete Wavelet Transform
(DWT) representation of the signals for different analyzing mother
wavelet functions. Results are obtained and compared for Global
threshold and level dependent threshold techniques. The results
obtained also include comparisons with Signal to Noise Ratios, Peak
Signal to Noise Ratios and Normalized Root Mean Square Error.", keywords = "Speech Compression, Wavelets.", volume = "2", number = "6", pages = "355-5", }