DocumentCode
2627808
Title
Differential quantization of spectral parameters for CELP based coders in packet networks
Author
Merazka, Fatiha
Author_Institution
Telecommun. Dept., Univ. of Sci. & Technol. Houari Boumediene, Algiers, Algeria
fYear
2012
fDate
25-28 Oct. 2012
Firstpage
1495
Lastpage
1498
Abstract
Line Spectrum Frequencies (LSF) have been the current parameters to represent LPC coefficients in speech coding. Extensive research has been performed to exploit their interframe and intraframe correlations and quantize them more efficiently. Interframe coding of LSFs can cause error propagation when frame erasures occur. Since most LSF quantizers were designed with the primary concerns of bit-rate and complexity, less attention was paid to error propagation. In this paper, we consider the erasure performance of LSF differential scalar quantizer (DSQ) and compare it with the interframe coding method embedded in the ITU-T G.729 coder. Our results show that with only 13,7% % extra bit-rate, DSQ algorithm is much more robust to frame erasures and improvements in terms of average spectral distortion (Avg. SD) and Enhanced modified bark spectral distortion (EMBSD) tests under various packet loss conditions are obtained.
Keywords
correlation methods; quantisation (signal); spectral analysis; speech coding; CELP based coder; ITU G.729 coder; LPC coefficient; LSF differential scalar quantizer; average spectral distortion; differential quantization; enhanced modified bark spectral distortion test; error propagation; interframe coding; interframe correlation; intraframe correlation; line spectrum frequency; packet loss condition; packet network; spectral parameter; speech coding; Integrated circuits; Radio access networks; Robustness; Speech; Speech coding; Vectors; Differential quantization; EMBSD; Error propagation; ITU G.729; LSFs; Spectral distortion; VoIP;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location
Montreal, QC
ISSN
1553-572X
Print_ISBN
978-1-4673-2419-9
Electronic_ISBN
1553-572X
Type
conf
DOI
10.1109/IECON.2012.6388521
Filename
6388521
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