Optimization of 2.4KBPS MELPe based on ARM9

Author

Liu, Su ; Zhang, Yixiong ; Hong, Jingxin ; Tang, Jun

Author_Institution

Dept. of Commun. Eng., Xiamen Univ., Xiamen, China

fYear

2011

fDate

14-17 June 2011

Firstpage

204

Lastpage

207

Abstract

MELPe (Mixed-Excitation Linear Predictive Enhancement) is an enhanced algorithm of MELP, which includes noise pre-processor and achieves better speech quality than MELP. To meet the demand of real-time embedded application, the MELPe algorithm is optimized based on ARM926EJ-S. The detailed process of optimization is presented, including three levels: algorithm optimization, code optimization and embedded assembly optimization. After optimization, the computation complexity is decreased by 87.6% (from 516.8MIPS to 64.1MIPS). And the PESQ test shows that the speech quality doesn´t descend. The experiments indicate that the effectiveness of the proposed approaches, which meets the requirement of real-time implementation.

Keywords

computational complexity; microprocessor chips; optimisation; speech enhancement; ARM926EJ-S; MELPe optimisation; algorithm optimization; bit rate 2.4 kbit/s; code optimization; computational complexity; embedded assembly optimization; mixed-excitation linear predictive enhancement; noise preprocessor; speech quality; Algorithm design and analysis; Assembly; Noise; Optimization; Power harmonic filters; Speech; Speech enhancement; ARM; MELPe; Optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics (ISCE), 2011 IEEE 15th International Symposium on

Conference_Location

Singapore

ISSN

0747-668X

Print_ISBN

978-1-61284-843-3

Type

conf

DOI

10.1109/ISCE.2011.5973814

Filename

5973814