Vector quantization of speech spectral parameters using statistics of static and dynamic features

Citation
K. Koishida et al., Vector quantization of speech spectral parameters using statistics of static and dynamic features, IEICE T INF, E84D(10), 2001, pp. 1427-1434
Citations number
8
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Information Tecnology & Communication Systems
Journal title
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
ISSN journal
0916-8532 → ACNP
Volume
E84D
Issue
10
Year of publication
2001
Pages
1427 - 1434
Database
ISI
SICI code
0916-8532(200110)E84D:10<1427:VQOSSP>2.0.ZU;2-#
Abstract
This paper proposes a vector quantization scheme which makes it possible to consider the dynamics of input vectors. In the proposed scheme, a linear t ransformation is applied to the consecutive input vectors and the resulting vector is quantized with a distortion measure defined by the statistics. A t the decoder side, the output vector sequence is determined using the stat istics associated with the transmitted indices in such a way that a likelih ood is maximized. To solve the maximization problem, a computationally effi cient algorithm is derived. The performance of the proposed method is evalu ated in LSP parameter quantization. It is found that the LSP trajectories a nd the corresponding spectra change quite smoothly in the proposed method. It is also shown that the use of the proposed method results in a significa nt improvement of subjective quality.