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