• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

Deng, Feng (Deng, Feng.) | Bao, Chang-Chun (Bao, Chang-Chun.) (学者:鲍长春) | Xia, Bing-Yin (Xia, Bing-Yin.) | Liang, Yan (Liang, Yan.)

收录:

EI Scopus

摘要:

A kind of hiss noise reduction method used for audio signal is proposed by Modified Discrete Cosine Transform (MDCT) in this paper. The human auditory model and the parametric soft-thresholding are introduced to the proposed method. A modified median absolute deviation (MAD) is first adopted to avoid overestimate of noise levels. Next, the Modified Discrete Fourier Transform (MDFT) is constructed using the pre-enhanced MDCT coefficients and the masking threshold and the adaptive masking parameters are calculated in MDFT domain. Finally, a parametric soft-thresholding method is employed to attenuate hiss noise significantly and keep more high-frequency (HF) information. The objective and subjective listening test results show that the proposed algorithm outperforms the referenced methods. © 2011 IEEE.

关键词:

Acoustic noise Atmospherics Audio acoustics Audio signal processing Audition Discrete cosine transforms Discrete Fourier transforms Signal denoising

作者机构:

  • [ 1 ] [Deng, Feng]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Bao, Chang-Chun]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Xia, Bing-Yin]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Liang, Yan]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

通讯作者信息:

电子邮件地址:

查看成果更多字段

相关关键词:

相关文章:

来源 :

年份: 2011

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 4

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 2

归属院系:

在线人数/总访问数:174/3603787
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司