Title :
Low-rate quantization of spectrum parameters
Author :
Eriksson, Thomas ; Kang, Hong-Goo ; Hedelin, Per
Author_Institution :
Dept. of Signals & Syst., Chalmers Univ. of Technol., Goteborg, Sweden
Abstract :
In this paper, we generalize the standard blockwise linear predictive (LP) coding by introducing low-pass filtering and downsampling of the LPC vectors at the encoder side, accompanied by interpolation at the decoder. Several concepts in LP coding, such as overlapping frames, interpolation and long analysis frames, can be described in the proposed framework. We also note that the proposed methods are in agreement with previous work on spectral dynamics, which indicates that spectral dynamics is (at least) as important as spectral distortion for speech quality. We have applied the proposed method to low-rate quantization of spectrum parameters. Objective and subjective performance of the new approach is compared to a standard blockwise LP coding, at various rates. We show that both the subjective and objective quality of the new method compare favorably with standard methods. Even at as low rate as 500 bit/s, the proposed method has a good quality
Keywords :
interpolation; linear predictive coding; low-pass filters; spectral analysis; speech coding; vector quantisation; 500 bit/s; LPC vectors; blockwise linear predictive coding; decoder; downsampling; interpolation; listening tests; long analysis frames; low-pass filtering; low-rate quantization; objective performance; overlapping frames; spectral distortion; spectral dynamics; spectrum parameters; speech coding; speech quality; subjective performance; Decoding; Filtering; Image coding; Interpolation; Linear predictive coding; Low pass filters; Nonlinear filters; Quantization; Speech processing; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.861886