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A low-complexity, hardware architecture for a parametric, real-time LSF speech decoder

Mabrouk, Ahmed Hassan and Hassim, Norhidayah (2011) A low-complexity, hardware architecture for a parametric, real-time LSF speech decoder. In: The 15th IEEE International Symposium on Consumer Electronics (ISCE 2011), 14-17 June 2011, Singapore.

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Abstract

One of the main objectives of the widely used MPEG4 audio standard was to provide a technical framework for audio coding suited for low bit rate wireless communication. All variants of the MPEG4 audio coders use a Linear Prediction (LP) filtering system. The LP filter coefficients are calculated based on the Line Spectral Frequencies (LSF) parameters due to their excellent quantization characteristics. This work presents a hardware architecture that implements the conversion of the LSF parameters into the LP coefficients and the LP synthesis filter. The LSF conversion module is based on a simplified algorithm that cuts down on many arithmetic operations and thus results in a low gate count module. The architecture was implemented on Xilinx Virtex5 FPGA platform for performance measurement and verification. Module speeds are reported in terms of the number of clock cycles taken by each of their sub-modules to show suitability for real-time applications. Synthesis results are reported using various degrees of parallelism to explore the trade-off between gate count and time delay. Fixed-point implementation was carried out in a way that kept the original precision of the LSF parameters and input data in order to mitigate the severe impact of the tight bit rate budget.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 5715/15104 ISBN 978-1-61284-843-3
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Information and Communication Technology > Department of Computer Science
Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User: Assoc. Prof. Dr. Ahmed Abbas Mohamed Hassan @ Mabrouk
Date Deposited: 12 Jan 2012 16:12
Last Modified: 10 May 2012 13:52
URI: http://irep.iium.edu.my/id/eprint/15104

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