DocumentCode :
2406914
Title :
A comparison of the new 2400 bps MELP Federal Standard with other standard coders
Author :
Kohler, M.A.
Author_Institution :
US Dept. of Defense, Meade, MD, USA
Volume :
2
fYear :
1997
fDate :
21-24 Apr 1997
Firstpage :
1587
Abstract :
In 1996, the U.S. Department of Defense Digital Voice Processing Consortium (DDVPC) selected Texas Instrument´s mixed excitation linear prediction (MELP) algorithm as the recommended new Federal Standard for 2400 bps voice communications. The algorithm selection process involved quality, intelligibility, communicability, and recognizability testing in many acoustic noise, error, and tandem conditions. Algorithm complexity was also measured. This paper compares the performance scores, diagnostic information, and complexity of MELP to the 4800 bps Federal Standard (FS1016) code excited linear prediction (CELP) algorithm, the 16 kbps continuously variable slope delta modulation (CVSD) algorithm, and the venerable Federal Standard (FIPS Pub. 137) 2400 bps linear predictive coding (LPC-10) algorithm
Keywords :
code standards; computational complexity; linear predictive coding; speech coding; speech intelligibility; speech recognition; telecommunication equipment testing; telecommunication standards; vocoders; voice communication; 2.4 kbit/s; CELP algorithm; Digital Voice Processing Consortium; Federal Standard; MELP algorithm; Texas Instruments; USA Department of Defense; code excited linear prediction; communicability testing; complexity; continuously variable slope delta modulation algorithm; diagnostic information; linear predictive coding algorithm; mixed excitation linear prediction; performance scores; speech coders; speech intelligibility testing; speech quality testing; speech recognizability testing; voice communications; Acoustic noise; Acoustic testing; Code standards; Communication standards; Delta modulation; Instruments; Linear predictive coding; Microphones; Prediction algorithms; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
ISSN :
1520-6149
Print_ISBN :
0-8186-7919-0
Type :
conf
DOI :
10.1109/ICASSP.1997.596256
Filename :
596256
Link To Document :
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