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An Improved Speech Coding Algorithm Based onGMM and Polynomial Fitting(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2017年02期
Page:
63-
Research Field:
计算机工程
Publishing date:

Info

Title:
An Improved Speech Coding Algorithm Based onGMM and Polynomial Fitting
Author(s):
Wang Rongrong1; Li Ping2; Zeng Yumin1; Wei Yi1
(1.School of Physical Science and Technology,Nanjing Normal University,Nanjing 210023,China)(2.College of Information Technology,Taizhou Polytechnic College,Taizhou 225300,China)
Keywords:
speech coding; GMM; polynomial fitting; Vandermonde matrix
PACS:
TN912.3
DOI:
10.3969/j.issn.1672-1292.2017.02.010
Abstract:
A vocoder is proposed basing on polynomial fitting and Gaussian Mixture Model(pGMM). In the vocoder,several frames are collected into a segment after using GMM model to parameterize the short-time speech spectrum envelope. The polynomial trajectory is used to fit the parameters of GMM in a segment according to the correlation between neighboring frames,thus reducing the number of parameters. The results show that the bit rate of pGMM vocoder is further reduced in contrast with the vocoder based on GMM.

References:

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Last Update: 2017-06-30