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Author:

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

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EI Scopus PKU CSCD

Abstract:

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.

Keyword:

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

Author Community:

  • [ 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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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2006

Issue: 6

Volume: 32

Page: 514-519

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 268

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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