期刊文献+

基于人耳掩蔽效应的子空间语音增强算法实现 被引量:1

Subspace Speech Enhancement Based on Human-being Masking Effect
下载PDF
导出
摘要 宽带语音增强在改善语音质量方面有着广泛的应用。传统的减谱技术虽然去噪明显,但在听觉上留下了不舒适的"音乐噪声",为了在主客观上得到更好的折衷,引入了子空间技术,将带噪信号分解为不相关的信号空间和噪声空间,并结合人耳掩蔽效应,在主客观上得到了较好的折衷。 Wideband speech enhancement is widely used to improve speech quality. Although traditional subtract spectrum method can reduce noise apparently, it also will leave the uncomfortable musical noise. In order to get a better trade off, the subspace technique is introduced, which separates the noisy signal into irrelated signal space and noise space, and then combines with human-being masking effect.
出处 《电声技术》 2009年第5期55-57,共3页 Audio Engineering
关键词 语音增强 子空间 人耳掩蔽 特征值分解 speech enhancement subspaee human-being masking effect eigenvalue decomposition
  • 相关文献

参考文献4

  • 1EPHRAIM Y,VAN TREES H L. A signal subspace approach for speech enhancement [J]. IEEE Trans. on Speech Audio Processing, 1995,3:251-256.
  • 2REZAYEE A,GAZOR S. An adaptive KLT approach for speech enhancement[J]. IEEE Trans. on Speech Audio Processing, 2001,9 : 87-95.
  • 3BEROUTI M,SCHWARTZ R,MAKHOUL J. Enhancement of speech corrupted by acoustic noise [C]//Proceedings of IEEE ICASSP. Washington : [s.n.], 1979 : 208-211.
  • 4蔡汉添,袁波涛.一种基于听觉掩蔽模型的语音增强算法[J].通信学报,2002,23(8):93-98. 被引量:16

二级参考文献7

  • 1[1]BOLL S F.Suppression of acoustic noise in speech using spectral subtraction[J].IEEE Trans Acoustic, Speech, Signal Processing, 1979, 27(2):113-120.
  • 2[2]EPHRAIM Y, MALAH D. Speech enhancement using a minimum mean square error short time spectral amplitude estimator[J]. IEEE Trans Acoustic, Speech, Signal Processing, 1984, 32(6):1109-1121.
  • 3[3]TSOUKALAS D E, MOURJOPOULOS J N ,KOKKINAKIS G.Speech enhancement based on audible noise suppression[J]. IEEE Trans Speech and Audio Process, 1999, 7(3):497-514.
  • 4[4]SOON L Y, KOH S N. Low distortion speech enhancement[J]. IEEE Proc Vis Image Signal Processing, 2000, 147(3):247-250.
  • 5[5]TSOUKALAS D, PARASKEVAS M ,MOURJOPOULOS J, Speech enhancement using psycho-acoustic criteria[A]. Proc IEEE ICASSP 1993[C].Minneapolis, 1993.359-361.
  • 6[6]SINHA D, TEWFIK A H.Low bit rate transparent audio compression using adapted wavelets [J].IEEE Trans Signal Processing, 1993, 41(12):3463-3479.
  • 7[7]JOHNSTON J D. Transform coding of audio signal using perceptual noise criteria[J]. IEEE JSelect Areas Commun,1988,6(2):314-323.

共引文献15

同被引文献14

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部