Title :
A new general distance measure for quantization of LSF and their transformed coefficients
Author :
Vu, Hai Le ; Lois, Láiszló
Author_Institution :
Dept. of Telecommun., Budapest Tech. Univ., Hungary
Abstract :
We have developed a new general distance measure that not only can be used in a vector quantization (VQ) of the line spectrum frequency (LSF) parameters but performs well in the LSF transformed domain. The new distance is based on the spectral sensitivity of the LSF and their transformed coefficients. In addition, the fixed scaling factor is used to decrease the sensitivity of the spectral error at higher frequencies. Experimental results have shown that the proposed distance measure leads to as good as or better performance of VQ compared to other methods in the field of LSF coding. The use of this distance as the weighting function of the LSFs´ transformed parameters is also suggested
Keywords :
error analysis; spectral analysis; speech coding; transform coding; vector quantisation; LSF coding; LSF parameters; VQ; experimental results; fixed scaling factor; general distance measure; line spectrum frequency; spectral error; spectral sensitivity; speech coding; transformed coefficients; transformed parameters; vector quantization; weighting function; Distortion measurement; Ear; Encoding; Euclidean distance; Frequency measurement; Humans; Speech coding; Testing; Vector quantization; Weight measurement;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.674363