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Author:

Zhang, Li-Yan (Zhang, Li-Yan.) | Bao, Chang-Chun (Bao, Chang-Chun.) (Scholars:鲍长春) | Liu, Xin (Liu, Xin.) | Zhang, Xing-Tao (Zhang, Xing-Tao.)

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EI Scopus PKU CSCD

Abstract:

A bandwidth extension method based on audio classification was proposed. Time series of audio signals were classified into four types based on recurrence plot and recurrence quantification analysis, and the fine spectrums were recovered by taking advantage of four methods respectively. In addition, the spectrum envelope and energy gain were adjusted by Gaussian mixture model and codebook mapping on the basis of soft decision respectively. Subjective and objective testing results indicate that the proposed method has good quality compared with conventional blind bandwidth extension methods, and the performance of ITU-T G.722.1 codec with the proposed algorithm is better than that of G.722.1C codec at the same bit rate.

Keyword:

Gaussian distribution Multivariable control systems Bandwidth Time series analysis Subjective testing Audio acoustics

Author Community:

  • [ 1 ] [Zhang, Li-Yan]Speech and Audio Signal Processing Lab., School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Bao, Chang-Chun]Speech and Audio Signal Processing Lab., School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Liu, Xin]Speech and Audio Signal Processing Lab., School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Zhang, Xing-Tao]Speech and Audio Signal Processing Lab., School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

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Source :

Journal on Communications

ISSN: 1000-436X

Year: 2013

Issue: 8

Volume: 34

Page: 120-130,139

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 13

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