Title :
Efficient coding of LSP parameters using split matrix quantisation
Author :
Xydeas, C.S. ; Papanastasiou, C.
Author_Institution :
Sch. of Eng., Manchester Univ., UK
Abstract :
This paper presents a new and efficient LPC quantisation scheme called split matrix quantisation (SMQ). The proposed method can be viewed as an extension of the conventional split vector quantisation process. It operates over N consecutive LPC frames and effectively divides a p×N LSP matrix into K submatrices which are then vector quantised independently. SMQ exploits the interframe redundancy that exists between consecutive sets of LSP coefficients and achieves “transparent” quantisation at 900 bits/sec. “High quality” LSP quantisation can be easily obtained at 750 bits/sec. These bit rates are based in a 20 msec LPC analysis frame size. Furthermore, SMQ is characterised by relatively low complexity and low storage requirements
Keywords :
linear predictive coding; matrix algebra; spectral analysis; speech coding; vector quantisation; 20 ms; 750 bit/s; 900 bit/s; LPC analysis frame size; LPC frames; LPC quantisation; LSP coefficients; LSP parameters; LSP quantisation; bit rates; interframe redundancy; low complexity; low storage requirements; speech coding; split matrix quantisation; split vector quantisation; submatrices; transparent quantisation; Adaptive systems; Bit rate; Books; Delay; Distortion measurement; Filters; Frequency; Information filtering; Laboratories; Linear predictive coding; Speech processing; Speech synthesis; Vector quantization;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.479800