Transparent quantization of speech LSP parameters based on KLT and 2-D-prediction
Fu-Rong Jean, Hsiao-Chuan Wang · IEEE Transactions on Speech and Audio Processing · 1996
Abstruct- In this correspondence, a two-stage approach based on Karhunen-Loeve transform and 2-D prediction is proposed for efficient quantization of line spectrum pair (LSP) parameters of speech. Besides, a switched classifier is incorporated with this approach to reduce the outlier frames (spectral distortion greater than 2 dB) down to about 0.27% and to eliminate frames with spectral distortion greater than 4 dB at an average bit-rate below 19 b/frame.