Title :
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
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;
Conference_Titel :
Audio, Language and Image Processing (ICALIP), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-3902-2
DOI :
10.1109/ICALIP.2014.7009781
