References
[1]. News and Analysis of Speech Recognition Markets.
(1999). Products and Technology, Num. 73 pp: 1-32, July .
[2]. Graps, A. (1995). An Introduction To Wavelets, IEEE
Computational Sciences and Engineering, Vol. 2, No. 2,
pp. 50-61, Summer.
[3]. Proakis, J.G., and Manolakis, D.G. (1996). Digital
Signal Processing: Principles, Algorithms and
Applications. New Jersey: Prentice-Hall.
[4]. Symes, P. (2001). Digital Video Compression. New
York: McGraw-Hill.
[5]. Shijo M, Joseph, Firoz Shah A., Babu Anto P. (2010).
Spoken Digit Compression: A Comparative Study
between Discrete Wavelet Transforms and Linear
Predictive Coding, International Journal of Computer
Applications (0975 – 8887), Vol. 6– No.6, September 2010.
[6]. Rabiner, L.R., and Juang, B. (1993). "Fundamental of
speech recognition", Prentice-Hall Inc., USA.
[7]. G. Strang and T. Nguyen. (1996). “Wavelets and Filter
Banks”, Wellesley-Cambridge Press.
[8]. S. Mallat. (1989). "A Theory for Multiresolution Signal
Decomposition: The Wavelet Representation," IEEE Trans.
on Pattern Analysis and Machine Intelligence, Vol. 11,
No.7, pp. 674-693, July.
[9]. M. Misiti, Y. Misiti, G. Oppenheim and J. Poggi. (2000).
Matlab Wavelet Tool Box, The Math Works Inc.
[10]. Pommer, A., and Uhl, A. (2002). “Selective Encryption
of Wavelet Packet Subband Structure for Secure
Transmission of Visual Data”, ACM Multimedia System
Journal, pp. 67-70, 2002.
[11]. Rabiner, L.R., and Schafer, R.W. (1978). "Digital
processing of speech signal", Prentice-Hall Inc., USA.
[12]. Lynn, P.A. (1997). "Digital Signal Processing With
Computer Application", Second Edition, John Wiley &
Sons.
[13]. Karam, J. (2004). A Global Threshold Wavelet-Based
Scheme for Speech Recognition, Third Internationalconference on Computer Science, Sof tware
Engineering Information Technology, E-Business and
Applications, Cairo, Egypt, Dec. 27-29.
[14]. Feng, Yanhui, Thanagasundram, Schlindwein, S.,
Soares, F. (2006). Discrete wavelet-based thresholding
study on acoustic emission signals to detect bearing
defect on a rotating machine, Thirteenth International
Congress on Sound and Vibration, Vienna, Austria July 2-6.
[15]. S. Chomphan. (2010). Multi-Pulse Based Code
Excited Linear Predictive Speech Coder with Fine
Granularity Scalability for Tonal Language, Journal of
Computer Science 6 (11): 1288-1292.
[16]. David Salomon. (1997). "data compression", Library
of Congress Cataloging in publication, USA.
[17]. L.R. Litwin. Speech Coding with Wavelets,. IEEE
Potentials, Vol.17, No.2, May 1998, pp. 38-41.
