DocumentCode :
2754925
Title :
Low bit rate line spectrum pair (LSP) quantizer with application to speech coding
Author :
El-Kouatly, Rand ; El-Ramly, Salwa
Author_Institution :
Dept. of Electr. & Commun. Eng., Ain Shams Univ., Cairo, Egypt
fYear :
1999
fDate :
23-25 Feb 1999
Abstract :
This paper proposes a new efficient line spectrum pair (LSP) quantizer, which is based on the combination of the difference LSP techniques and moving average (MA) interframe prediction. The difference technique is used to remove the correlation between adjacent LSP coefficients in the present frame, while the moving average (MA) prediction removes the correlation between the corresponding coefficients in successive frames. Two techniques are used for residual quantization, the first is a low complexity scalar quantizer with 20-25 bits per frame with 20 ms frame size. The second is of higher complexity but lower bit rate which uses 14 bits per frame two stages vector quantizer (VQ). The DMAP quantization technique yields a good performance comparable to the moving average two-stage split vector quantizer used in the ITU-T G.729 standard
Keywords :
moving average processes; prediction theory; spectral analysis; speech coding; vector quantisation; 20 ms; DMAP quantization; ITU-T G.729 standard; LSP coefficients; correlation; difference LSP techniques; frame size; line spectrum pair quantizer; low bit rate quantizer; low complexity scalar quantizer; moving average interframe prediction; moving average two-stage split VQ; performance; residual quantization; speech coding; vector quantizer; Bit rate; Information filtering; Information filters; Linear predictive coding; Nonlinear filters; Predictive models; Pulse modulation; Quantization; Speech coding; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radio Science Conference, 1999. NRSC '99. Proceedings of the Sixteenth National
Conference_Location :
Cairo
Print_ISBN :
977-5031-62-1
Type :
conf
DOI :
10.1109/NRSC.1999.760918
Filename :
760918
Link To Document :
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