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Fixed Point Implementation of the QCELP Speech Coder
Author(s) -
Yoon Byung Sik,
Kim Jae Won,
Lee Won Myoung,
Jang Seok Jin,
Choi Song In,
Lim Myoung Seob
Publication year - 1997
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.97.0197.0309
Subject(s) - mean opinion score , computer science , speech coding , code division multiple access , voice activity detection , coding (social sciences) , computation , point (geometry) , chip , fixed point , digital signal processing , linear predictive coding , code (set theory) , speech recognition , mode (computer interface) , algorithm , computer hardware , speech processing , mathematics , computer network , telecommunications , engineering , programming language , mathematical analysis , operating system , set (abstract data type) , metric (unit) , operations management , statistics , geometry
The Qualcomm code excited linear prediction (QCELP) speech coder was adopted to increase the capacity of the CDMA Mobile System (CMS). In this paper, we implemented the QCELP speech coding algorithm by using TMS320C50 fixed point DSP chip. Also the fixed point simulation was done with C language. The computation complexity of QCELP on TMS320C50 was about 33 MIPS and program size was 10k words and data memory was 4k words. In the normal call test on the CMS, where mobile to mobile call test was done in the bypass mode without double vocoding, mean opinion score for the speech quality was 3.11.

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