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Proceedings Paper

Vector predictive coding algorithm for unstable speech signal sequences
Author(s): Zhengxiang Qian; Luyi Yang; Wei Chen; Penghui Ding
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Paper Abstract

In vector predictive coding of speech signal sequences, the speech vector sequences that is obtained after a classification of adjacent sample of source speech sequences, can be regarded as autoregressive vector sequences with stable convariance. The vector predictive coding algorithm with highly parallel processing ability, can be achieved with the application of the principle of orthogonal projection in Hilbert space. In comparison with traditional lattice methods, the vector predictive coding algorithm has obvious advantages of calculating complexity and storage.

Paper Details

Date Published: 24 October 2006
PDF: 7 pages
Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63570A (24 October 2006); doi: 10.1117/12.716695
Show Author Affiliations
Zhengxiang Qian, New Star Research Institute of Applied Technology (China)
Luyi Yang, New Star Research Institute of Applied Technology (China)
Wei Chen, New Star Research Institute of Applied Technology (China)
Penghui Ding, New Star Research Institute of Applied Technology (China)


Published in SPIE Proceedings Vol. 6357:
Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence

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