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作者:

Qi, Feng-Yan (Qi, Feng-Yan.) | Bao, Chang-Chun (Bao, Chang-Chun.) (学者:鲍长春)

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摘要:

To reduce the computational complexity of characteristic waveform (CW) representation and alignment, improved algorithms for CW representation and CW alignment are proposed by applying fast Fourier transform, cubic B-spline interpolation and period extension. The improved algorithms are correspondingly independent, and their complexity is reduced from 43.252 million operations per second to 9.178 million operations per second. The experimental results show that the improved algorithms have greatly reduced the computational complexity and kept the same speech quality as original coder.

关键词:

Algorithms Alignment Computational complexity Fast Fourier transforms Interpolation Speech coding Splines Waveform analysis

作者机构:

  • [ 1 ] [Qi, Feng-Yan]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Bao, Chang-Chun]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China

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来源 :

Journal of Beijing University of Technology

ISSN: 0254-0037

年份: 2006

期: 6

卷: 32

页码: 514-519

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 246

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

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