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,  

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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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