CFP last date
20 May 2024
Reseach Article

An analytical approach for wideband speech coding with the help of filter bank

Published on March 2012 by Ujjwal v. Ramekar
2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
Foundation of Computer Science USA
NCIPET - Number 3
March 2012
Authors: Ujjwal v. Ramekar
3a853a9a-5580-40ce-979d-d072148f7838

Ujjwal v. Ramekar . An analytical approach for wideband speech coding with the help of filter bank. 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013). NCIPET, 3 (March 2012), 20-22.

@article{
author = { Ujjwal v. Ramekar },
title = { An analytical approach for wideband speech coding with the help of filter bank },
journal = { 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013) },
issue_date = { March 2012 },
volume = { NCIPET },
number = { 3 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 20-22 },
numpages = 3,
url = { /proceedings/ncipet/number3/5210-1022/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
%A Ujjwal v. Ramekar
%T An analytical approach for wideband speech coding with the help of filter bank
%J 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
%@ 0975-8887
%V NCIPET
%N 3
%P 20-22
%D 2012
%I International Journal of Computer Applications
Abstract

Interpreting the need of high quality wideband speech coding some standardization events have been conducted. There are various methods and standard for speech coding. these paper present a new technique of speech coding. here interpretation is done with the help of gamma tone filter bank. The o/p of the system is analyzed and process to get the respective train of pulses. the positioning and amplitude and gain of pulses are coded using the process of quantization.

References
  1. Kubin, G., and Kleijn, W. B., “On speech coding in a perceptual domain”, in Proc. IEEE ICASSP, 1999, pp. 205208.
  2. Rubin, F., “Arithmetic stream coding using fixed precision registers”, IEEE Trans Inf. Theory, vol. IT-25, no. 6, 1979, pp. 672-675.
  3. Zwicker, E., and Terhardt, E. “Analytical expressions for critical-band rate and critical bandwidth as a function of frequency”, J. Acoust. Soc. Am., vol. 68, no. 2, November1980, pp. 1523-1525.
  4. Zwicker, E., and Zwicker, U. T., “Audio engineering and psychoacoustics: matching signals to the final receiver, the human auditory system”, J. Audio Eng. Soc., vol. 39, no. 3, March 1991, pp. 115-126.
  5. Ambikairajah, E., Davis, A. G., and Wong, W. T. K., “Auditory masking and MPEG-1 audio compression”, Electr. & Commun.
  6. Brandenburg, K. B., and Stoll, G., “ISO-MPEG-1 audio: A generic standard for coding of high-quality digital audio”, J. Audio Eng. Soc., vol. 42, no. 10, Oct. 1994, pp. 780-792.
  7. Krasner, M. A., “The critical band coder – digital encoding of speech signals based on the perceptual requirements of the auditory system”, in Proc. IEEE ICASSP, 1980, pp. 327330 [8 ]P. 1. M. Johannesma, (1972) "The pre-response stimulus ensemble of neurons in the cochlear nucleus," Symposium on Hearing Theory, 22-23 June, 1972, IPO, Eindhoven
  8. Filterbank Reconstruction of Bandlimited Signals from Nonuniform and Generalized Samples Yonina C. Eldar, Student Member, IEEE and Alan V. Oppenheim, Fellow, IEEE
  9. K.Yao and J. B. Thomas, “On some stability and interpolatory properties of nonuniform sampling expansions,” IEEE Trans. Circuit Theory, vol. CT-14, pp. 404–408, Dec. 1967.
  10. “Speech Coding Overview” Jason Woodard,http://wwwmobile.ecs.soton.ac.uk/speech_codecs
  11. SPEECH CODING: FUNDAMENTALS AND APPLICATIONS MARK HASEGAWA-JOHNSON University of Illinois at Urbana–Champaign Urbana, Illinois ABEER ALWAN University of California at Los Angeles Los Angeles, California
  12. Sub band Speech analysis using Gammatone Filter banks and optimal pitch extraction methods for each sub band using average magnitude difference function (AMDF) for LPC Speech Coders in Noisy Environments Suma S.A.; Dr. K.S.Gurumurthy University Visvesvaraya College of Engineering, K.R. Circle Bangalore 01, India
  13. R. G. Amado and J. V. Filho, Pitch detection algorithms based on zero-cross rate and autocorrelation function for musical notes,Proc. Int. Conf. on Audio, Language and Image Processing, (Shanghai, China, 2008) pp. 449-454.
  14. K. Järvinen, J. Vainio, P. Kapanen, T. Honkanen, P. Haavisto, R. Salami, C.Laflamme, J.-P.Adoul, “GSM Enhanced Full Rate Codec,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Munich, Germany, 20–24 April 1997, pp. 771–774.
  15. J.D.Gordy and R.A.Goubran, A combined LPC-based speech coder and filtered-X LMS algorithm for acoustic echo cancellation," in Proc. IEEE ICASSP, vol.4,pp.125-128, May
  16. Oxenham, A.J. Plack, C.J. Suppression and the upward spread of masking, Journal of the Acoustical Society of America, 104 (6) pp.3500–3510
  17. R. G. Willey, “Recovery of bandlimited signals from unequally spaced samples,” IEEE Trans. Commun., vol. COMM-26, pp. 135–137, Jan.1978.
Index Terms

Computer Science
Information Sciences

Keywords

Wideband speech signal gamma tone filter bank speech coding