Implementation and optimization of 1200bps MELPe based on ARM

Author

Weiping Huang ; Xiaoqun Zhao ; Jingyun Xu

Author_Institution

Coll. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China

fYear

2014

fDate

7-9 July 2014

Firstpage

176

Lastpage

179

Abstract

This paper introduces basic principles of MELPe (Enhanced Mixed-Excitation Linear Predictive), which is an enhanced algorithm of MELP. Compiling optimization and code optimization methods will be proposed based on ARM1176JZF-S kernel. The encoding time of optimized algorithm drops from 110.75ms per frame to 52.5ms per frame and decoding time drops from 14.88ms per frame to 10.73ms per frame. Efficiency of encoding is increased by 52.6% and decoding is increased by 27.89%. Algorithm implementation platform is built based on the ARM architecture and Linux operating system, and MELPe algorithm is transplanted to ARM board with S3C6410 processor. PESQ and MOS values indicate that speech quality is guaranteed. Testing results show ARM1176JZF-S and MELPe algorithm can meet the real-time requirements of speech communications.

Keywords

Linux; microprocessor chips; optimising compilers; reduced instruction set computing; speech processing; 1200bps MELPe optimization; ARM board; ARM1176JZF-S kernel; Linux operating system; MOS values; PESQ values; S3C6410 processor; algorithm implementation platform; code optimization methods; compiling optimization; decoding time; enhanced mixed-excitation linear predictive; speech communications; speech quality; Algorithm design and analysis; Decoding; Encoding; Optimization; Signal processing algorithms; Speech; Speech processing; arm; implementation; melpe; optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Audio, Language and Image Processing (ICALIP), 2014 International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4799-3902-2

Type

conf

DOI

10.1109/ICALIP.2014.7009781

Filename

7009781