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作者:

Zhang, Xingtao (Zhang, Xingtao.) | Bao, Changchun (Bao, Changchun.) (学者:鲍长春) | Liu, Xin (Liu, Xin.) | Zhang, Liyan (Zhang, Liyan.) | Bao, Feng (Bao, Feng.) | Bu, Bing (Bu, Bing.)

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摘要:

In this paper, the maximum Lyapunov exponent and the correlation dimension are first utilized to determine the chaotic characteristics of audio spectrum based on nonlinear analysis method. Next, the maximum Lyapunov prediction and codebook mapping are used to recover the fine structure and envelope of high-frequency spectrum separately. By using above two approaches, the bandwidth of wideband audio is extended to super-wideband. Finally, this bandwidth extension method is applied into G.722.1 audio codec. The test results indicate that the proposed method outperforms the conventional algorithms in most cases, and the perceived quality of the extended super-wideband audio in the real wideband audio codec system is comparable with that of directly reconstructed audio using super-wideband audio coding at the bit-rate of 24 kb/s.

关键词:

Nonlinear analysis Lyapunov methods Bandwidth

作者机构:

  • [ 1 ] [Zhang, Xingtao]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Bao, Changchun]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Liu, Xin]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Zhang, Liyan]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 5 ] [Bao, Feng]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 6 ] [Bu, Bing]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

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年份: 2011

页码: 849-852

语种: 英文

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