Spectro-Temporal Filtering Based on Soft Decision for Stereophonic Acoustic Echo Suppression 


Vol. 39,  No. 12, pp. 1346-1351, Dec.  2014


PDF
  Abstract

We propose a novel approach for stereophonic acoustic echo suppression using spectro-temporal filtering based on soft decision. Unlike the conventional approaches estimating the echo pathes directly, the proposed technique can estimate stereo echo spectra without any double-talk detector. In order to improve the estimation of echo spectra, the extended power spectrum density matrix and echo overestimation control matrix are applied on this method. In addition, this echo suppression technique is based on soft decision technique using speech absence probability in STFT domain. Experimental results show that the proposed method improves compared with the conventional approaches.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

C. M. Lee, S. H. Bae, J. H. Kim, N. S. Kim, "Spectro-Temporal Filtering Based on Soft Decision for Stereophonic Acoustic Echo Suppression," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 12, pp. 1346-1351, 2014. DOI: .

[ACM Style]

Chul Min Lee, Soo Hyun Bae, Jeung Hun Kim, and Nam Soo Kim. 2014. Spectro-Temporal Filtering Based on Soft Decision for Stereophonic Acoustic Echo Suppression. The Journal of Korean Institute of Communications and Information Sciences, 39, 12, (2014), 1346-1351. DOI: .

[KICS Style]

Chul Min Lee, Soo Hyun Bae, Jeung Hun Kim, Nam Soo Kim, "Spectro-Temporal Filtering Based on Soft Decision for Stereophonic Acoustic Echo Suppression," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 12, pp. 1346-1351, 12. 2014.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880