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Author:

Bai, Hai-Chuan (Bai, Hai-Chuan.) | Bao, Chang-Chun (Bao, Chang-Chun.) (Scholars:鲍长春) | Liu, Xin (Liu, Xin.) | Li, Hong-Rui (Li, Hong-Rui.)

Indexed by:

EI Scopus PKU CSCD

Abstract:

The naturalness and auditory quality of the wideband audio is generally degraded due to the limitation of transmission bandwidth, so this paper presents a kind of audio bandwidth extension method from the wideband to super wideband based on grey Verhulst model. Grey Verhulst model was utilized for estimating the envelope of high-frequency spectrum, according to the evolution tendency of the spectral envelope series of audio signals. In addition, nearest-neighbor matching was utilized to predict the fine structure of high-frequency components. At last, the proposed method can effectively recover the high-frequency components in the frequency range 7-14 kHz through the envelope adjustment of high-frequency spectrum. Subjective and objective testing results indicate that the proposed method can improve the auditory quality of the wideband audio and outperforms the conventional method of audio bandwidth extension based on Gaussian mixture model.

Keyword:

Gaussian distribution Subjective testing Spectroscopy Bandwidth

Author Community:

  • [ 1 ] [Bai, Hai-Chuan]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Bao, Chang-Chun]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Liu, Xin]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Li, Hong-Rui]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China

Reprint Author's Address:

  • 鲍长春

    [bao, chang-chun]school of electronic information and control engineering, beijing university of technology, beijing; 100124, china

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Source :

Acta Electronica Sinica

ISSN: 0372-2112

Year: 2014

Issue: 8

Volume: 42

Page: 1624-1629

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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