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Author:

Bao, Feng (Bao, Feng.) | Deng, Feng (Deng, Feng.) | Bao, Chang-chun (Bao, Chang-chun.) (Scholars:鲍长春) | Jia, Mao-shen (Jia, Mao-shen.) (Scholars:贾懋珅)

Indexed by:

CPCI-S

Abstract:

An audio enhancement method based on AAC bitstream is proposed in this paper. First, the improved weighted recursive averaging (IWRA) algorithm is introduced to estimate the noise. Second, the beta-order minimum mean-square error (beta-MMSE) enhancement approach is employed to obtain the spectral amplitude of audio signals. Finally, the IWRA method and beta-MMSE method are applied into MPEG AAC codec for suppressing the noises included in AAC bitstream. The objective and subjective listening test results show that the proposed method yields good noise reduction results, the performance is better than reference methods.

Keyword:

noise estimation beta-MMSE statistical model component audio enhancement AAC encoder

Author Community:

  • [ 1 ] [Bao, Feng]Beijing Univ Technol, Sch Elect Informat & Control Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Deng, Feng]Beijing Univ Technol, Sch Elect Informat & Control Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Bao, Chang-chun]Beijing Univ Technol, Sch Elect Informat & Control Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Jia, Mao-shen]Beijing Univ Technol, Sch Elect Informat & Control Engn, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Bao, Feng]Beijing Univ Technol, Sch Elect Informat & Control Engn, Beijing 100124, Peoples R China

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Source :

PROCEEDINGS OF 2012 IEEE 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) VOLS 1-3

ISSN: 2164-5221

Year: 2012

Page: 477-480

Language: English

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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