Journal on Communications ›› 2013, Vol. 34 ›› Issue (8): 120-130.doi: 10.3969/j.issn.1000-436x.2013.08.016

• Papers • Previous Articles     Next Articles

Bandwidth extension method based on nonlinear audio characteristics classification

Li-yan ZHANG,Chang-chun BAO,Xin LIU,Xing-tao ZHANG   

  1. Speech and Audio Signal Processing Lab,School of Electronic Information and Control Engineering,Beijing University of Technology,Beijing 100124,China
  • Online:2013-08-25 Published:2017-08-31
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;Beijing Natural Science Foundation Program and Scientific Research Key Program of Beijing Municipal Commission of Education;The Natural Science Foundation of Beijing;The Funding Project for Academic Human Resources Development in Institutions of Higher Learning Under the Jurisdiction of Beijing Municipality;The 9th Postgraduate Science Foundation of Beijing University of Technology

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.

Key words: audio coding, bandwidth extension, audio classification, recurrence plot, recurrence quantification analysis

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