@article{oai:nitech.repo.nii.ac.jp:00005005,
 author = {Koishida, Kazuhito and Tokuda, Keiichi and 徳田, 恵一 and Masuko, Takashi and Kobayashi, Takao},
 issue = {10},
 journal = {IEICE transactions on information and systems},
 month = {Oct},
 note = {This paper proposes a vector quantization scheme which makes it possible to consider the dynamics of input vectors. In the proposed scheme, a linear transformation is applied to the consecutive input vectors and the resulting vector is quantized with a distortion measure defined by the statistics. At the decoder side, the output vector sequence is determined using the statistics associated with the transmitted indices in such a way that a likelihood is maximized. To solve the maximization problem, a computationally efficient algorithm is derived. The performance of the proposed method is evaluated in LSP parameter quantization. It is found that the LSP trajectories and the corresponding spectra change quite smoothly in the proposed method. It is also shown that the use of the proposed method results in a significant improvement of subjective quality., application/pdf},
 pages = {1427--1434},
 title = {Vector Quantization of Speech Spectral Parameters Using Statistics of Static and Dynamic Features},
 volume = {E84-D},
 year = {2001},
 yomi = {トクダ, ケイイチ}
}