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Vector Quantization of Speech Spectral Parameters Using Statistics of Static and Dynamic Features Kazuhito KOISHIDA Keiichi TOKUDA Takashi MASUKO Takao KOBAYASHI Publication IEICE TRANSACTIONS on Information and Systems Vol.E84-D No.10 pp.1427-1434 Publication Date: 2001/10/01 Online ISSN: DOI: Print ISSN: 0916-8532 Type of Manuscript: PAPER Category: Speech and Hearing Keyword: vector quantization, dynamic features, spectral quantization, LSP parameters, Full Text: PDF(640.5KB)>>
Summary: 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. | ||||||||||
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