DocumentCode
430671
Title
Fine granularity scalability for MP-CELP based speech coding with HPDR technique
Author
Chompun, Supattarachai
Author_Institution
Electr. Eng. Div., Kasetsart Univ., Chonburi, Thailand
Volume
1
fYear
2004
fDate
6-9 Dec. 2004
Firstpage
197
Abstract
In this work, based on the MP-CELP speech coding with HPDR technique, fine granularity scalability (FGS) is introduced by adjusting the amount of transmitted fixed excitation information. The FGS feature aim at changing the bit rate of the conventional coding more finely and more smoothly. Through performance analysis and computer simulation, the quality of scalability of the MP-CELP coding is presented with an improvement from conventional scalable MP-CELP. The HPDR technique is also applied to the MP-CELP to use for tonal language, meanwhile it can support the core coding rate of 4.2, 5.5, 7.5 kbps and additional scaled bit rates.
Keywords
linear predictive coding; speech coding; HPDR technique; MP-CELP; bit rate; core coding rate; fine granularity scalability; fixed excitation information; speech coding; tonal language; Bit rate; Decoding; Linear predictive coding; MPEG 4 Standard; Natural languages; Performance analysis; Scalability; Speech coding; Speech synthesis; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2004. Proceedings. The 2004 IEEE Asia-Pacific Conference on
Print_ISBN
0-7803-8660-4
Type
conf
DOI
10.1109/APCCAS.2004.1412726
Filename
1412726
Link To Document