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An Approach to Sparse Reconfigurable Hardware for LPC of Speech for VoIP

Published on March 2013 by Edet Bijoy K, Shaniba Asmi P
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National Conference on VLSI and Embedded Systems
Foundation of Computer Science USA
NCVES - Number 2
March 2013
Authors: Edet Bijoy K, Shaniba Asmi P
4ed09e5e-d7b2-4a92-a173-bef4c23572fe

Edet Bijoy K, Shaniba Asmi P . An Approach to Sparse Reconfigurable Hardware for LPC of Speech for VoIP. National Conference on VLSI and Embedded Systems. NCVES, 2 (March 2013), 5-8.

@article{
author = { Edet Bijoy K, Shaniba Asmi P },
title = { An Approach to Sparse Reconfigurable Hardware for LPC of Speech for VoIP },
journal = { National Conference on VLSI and Embedded Systems },
issue_date = { March 2013 },
volume = { NCVES },
number = { 2 },
month = { March },
year = { 2013 },
issn = 0975-8887,
pages = { 5-8 },
numpages = 4,
url = { /proceedings/ncves/number2/11313-1310/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on VLSI and Embedded Systems
%A Edet Bijoy K
%A Shaniba Asmi P
%T An Approach to Sparse Reconfigurable Hardware for LPC of Speech for VoIP
%J National Conference on VLSI and Embedded Systems
%@ 0975-8887
%V NCVES
%N 2
%P 5-8
%D 2013
%I International Journal of Computer Applications
Abstract

Linear Prediction Coding (LPC) plays a vital role in speech communication. LPC algorithms are most commonly used for voice coders. In this paper we present a new approach to implement a reconfigurable hardware for sparse LPC algorithms for VoIP applications. The motivation behind this is that the sparser the feature the better would be the bit rate constraint. The necessity of a reconfigurable system is scalability and transcoding. The computational cost is expected to be very low for such a hardware which is capable of solving least square problems.

References
  1. Tokunbo Ogunfunmi and Madihally J. (Sim) Narasimha "Speech over VoIP Networks: Advanced Signal Processing and System Implementation", 22 May 2012 IEEE CIRCUITS AND SYSTEMS MAGAZINE pp. 35 – 55, 2012.
  2. D. Giacobello, M. G. Christensen, M. N. Murthi, S. Jensen and M. Moonen, "Sparse linear prediction and its applications to speech processing," Audio, Speech, and Language Processing, IEEE Transactions, 2010.
  3. Russel Tessier, Wayne Burleson, "Reconfigurable Computing for Digital Signal Processing: A Survey", Journal of VLSI Signal Processing 28, 7-27, 2001.
  4. J. Makhoul, "Linear prediction: A tutorial review," Proceedings of the IEEE, vol. 63, pp. 561-580, 1975.
  5. Michael Livshitz, Alexey Petrovsky, Andrey Stankevich, Mikhail Kachinshy, Alexander Petrovsky, "Embedded Reconfigurable Hardware Platform for Real-Time Audio and Speech Signal Processing", The Fifth International Conference on Neural Networks and Artificial Intelligence 2010 May 27-30, Minsk, Belarus.
  6. Mohamed Atri, Fatma Sayadi, Wajdi Elhamzi, Rached Tourki, "Efficient Hardware/Software Implementation of LPC Algorithm in Speech Coding Applications", Journal of Signal and Information Processing, 2012, 3, 122-129
  7. Kuzmanov, Georgi, and Mottaqiallah Taouil. "Reconfigurable sparse/dense matrix-vector multiplier. " Field-Programmable Technology, 2009. FPT 2009. International Conference on. IEEE, 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Linear Prediction Coding Reconfigurable Computing Voip