期刊文献+

一种无双端会话检测的回声抵消算法 被引量:1

Echo canceling algorithm without double-talk detection
下载PDF
导出
摘要 为了解决回声抵消器中双端会话检测器计算量大,以及由于其时间的延迟而导致回声抵消性能恶化的问题,提出了一种无双端会话检测的信号的时变功率谱声回声抵消算法。根据双端会话时近端会话与远端会话相互之间的独立性,推导出远端会话信号的时变功率通过回声路径的冲激响应系统与麦克风输入信号的时变互功率相等,利用最小均方误差的自适应滤波来估计回声路径的冲激响应,从而将回声抵消掉。该算法不同于现有的回声抵消算法,它在进行回声抵消的过程中,不需要进行双端会话检测。通过将该算法的步长进行归一化处理,使得自适应滤波器的系数收敛变快,稳定性变强。仿真实验表明,该算法能够在各种会话情况下进行有效的回声抵消。 In order to reduce the high computational complexity load of the double-talk detector in the echo canceller and solve the time-delay problem which leads to the deterioration of the echo canceling performance,a without double-talk detectors based on signal time-varying power spectrum for acoustic echo canceling has been proposed.With the assumption,the near end and the far end speech are independent each other,the far end signal power passing the impulse response of the loudspeaker-enclosure-microphone-system equals the input microphone speech signal power,then using the Least Mean Square error principle for the adaptive filter to cancel the acoustic echo.This method is different from the traditional methods which need to detect the double-talk cases in solving the echo problem during the double-talk periods.Through making the step size normalization,the convergence time of the filter coefficients is reduced.At the same time,the filter becomes more robust.Simulation results show that the proposed algorithm can effectively work in all talking conditions.
出处 《计算机工程与应用》 CSCD 北大核心 2008年第15期33-35,共3页 Computer Engineering and Applications
关键词 双端会话声回声抵消 时变功率谱 代价函数 归一化步长 double-talk acoustic echo canceling,time-varying power spectrum,cost function,step size normalization
  • 相关文献

参考文献7

  • 1Hallack S,Petraglia M R.Performance comparison of adaptive algorithms applied to acoustic echo cancelling[J].IEEE International Symposium on Industrial Electronics,2003,2:1147-1150.
  • 2黄本雄,王进军.用快速自适应和相关度检测算法的回声抵消器[J].华中科技大学学报(自然科学版),2004,32(6):4-6. 被引量:1
  • 3Dahl M,Claesson I.Acoustic noise and echo canceling[J].IEEE Transactions on Vehicular Technology, 1999,48(5) : 1518-1526.
  • 4Huo Jia-quan,Fai Ka,Yiu Cedric,et al.A robust transform domain echo canceller employing a parallel filter structure[J].Signal Processing, 2006,86 : 3752-3760.
  • 5盛聚,谢式千,潘承毅.概率论与数理统计[M].北京:高等教育出版社.2002.
  • 6张贤达.现代信号处理[M].2版.北京:清华大学出版社,2004.
  • 7Yamashita K,Shimabukuro A R,Asharif M,et al.Orthogonal ECLMS algorithm for double-talk echo cancelling[J].Mathematics and Computers in Simulation,2000,53:437-442.

二级参考文献2

  • 1Duttweiler D L. Proportionate normalized least mean squares adaptation in echo cancelers. IEEE Transactions on Speech and Audio Processing, 2000, 8 (5): 508~518
  • 2Park S J, Cho C G, Le C Y, et al. Integrated echo and noise canceler for hands-free applications. IEEE Transactions on Circuits and Systems Ⅱ: Analog and Digital Signal Processing, 2002, 49(3): 188~195

共引文献4

同被引文献13

  • 1成利香,张桂新,基于DSP生回声抵消系统的研究[D].长沙:中南大学,2010.
  • 2Benesty J, Gaensler T, Morgan D R, et al.Advances in network and acoustic echo canceUation[M].Berlin: Springer-Verlag,2001.
  • 3Benesty J, Paleologu C, Gansler T, et al.A perspective on stereophonic acoustic echo cancellation[M].Berlin:Springer- Verlag, 2011.
  • 4Sondhi M M, Morgan D R, Hall J L.Stereophonic acoustic echo cancellation-an overview of the fundamental problern[J].IEEE Signal Processing Letters, 1995,2 (8) : 148-151.
  • 5Benesty J, Morgan D R, Sondhi M M.A better understanding and an improved solution to the specific problems of stereo- phonic acoustic echo cancellation[J].IEEE Transactions on Speech and Audio Processing, 1998,6(2) : 156-165.
  • 6Picinbono B, Chevalier P.Widely linear estimation with complex data[J].IEEE Transaction on Signal Processing, 1995,43 (8) : 2030-2033.
  • 7Mandic D P, Still S,Douglas S C.Duality between widely linear and dual channel adaptive filtering[C]//Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,2009: 1729-1732.
  • 8Paleologu C, Benesty J, Ciochin~i S.Sparse adaptive filters for echo cancellation[C]//Proceedings of the Synthesis Lectures on Speech and Audio Processing,2010.
  • 9Duttweiler D L.Proportionate normalized least-mean-squares adaptation in echo cancellers[J].IEEE Transactions on Speech and Audio Processing, 2000,8(5) : 508-518.
  • 10Benesty J, Gay S L.An improved PNLMS algorithm[C]// Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002,2 : 1881 - 1884.

引证文献1

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