Title :
Matrix product quantization for very-low-rate speech coding
Author_Institution :
Inst. for Telecommun., Tech. Univ. Berlin, Germany
Abstract :
Efficient block coding methods for LPC information play an essential role in very-low-rate speech coding systems. The subject of this contribution is a new suboptimal matrix quantization scheme for LPC parameters, called matrix product quantization (MPQ), which operates at bit rates between 300 and 700 b/s. MPQ encodes sequences of LPC parameter vectors using a product formulation of two matrices which describe the average parameter vector and the temporal contour. In fixed-rate coding systems for mobile communication, MPQ achieves a very high coding efficiency at a low coding delay. Compared to the multi-frame coding method (MFC) of Kemp et al. (1991), which causes a delay of 8 frames, the MPQ scheme operates more efficiently even at a coding delay of only 3 frames. Applying MPQ to a variable-rate segment vocoder, a bit rate reduction of 50% compared to memoryless VQ is obtained at a frame period of 20 ms
Keywords :
block codes; linear predictive coding; matrix algebra; mobile communication; speech coding; vocoders; LPC information; average parameter vector; bit rate reduction; block coding methods; encoding; fixed-rate coding systems; low coding delay; matrix product quantization; mobile communication; suboptimal matrix quantization scheme; temporal contour; variable-rate segment vocoder; very-low-rate speech coding; Bit rate; Block codes; Delay; Distortion measurement; Information rates; Linear predictive coding; Mobile communication; Quantization; Speech coding; Vocoders;
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.1995.479796