Name
Abstract | ||
|---|---|---|
In this paper, we propose a novel stereophonic acoustic echo suppression (SAES) technique based on crossband filtering in the short-time Fourier transform (STFT) domain. The proposed algorithm considers spectral correlations among components in adjacent frequency bins, and estimates the extended power spectral density (PSD) matrices and cross PSD vectors from the signal statistics for more precise echo estimation. In the STFT domain, the echo spectra are estimated by performing the technique without any distinguishable double-talk detector. According to the experimental results, the proposed algorithm has been found to show better performances compared with the conventional SAES method. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICASSP.2014.6853816 | ICASSP |
Keywords | Field | DocType |
crossband filtering,spectral correlations,statistical analysis,saes technique,short-time fourier transform domain,echo cancellation,signal-to-echo ratio,echo suppression,signal statistics,psd vectors,stereophonic acoustic echo suppression,acoustic signal processing,power spectral density matrices,saes method,stft domain,adjacent frequency bins,echo estimation,fast fourier transforms,vectors,acoustics,signal to noise ratio,correlation,speech | Pattern recognition,Matrix (mathematics),Computer science,Stereophonic sound,Short-time Fourier transform,Filter (signal processing),Fourier transform,Spectral line,Spectral density,Artificial intelligence,Detector | Conference |
ISSN | Citations | PageRank |
1520-6149 | 0 | 0.34 |
References | Authors | |
9 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chul Min Lee | 1 | 849 | 53.76 |
| Jong Won Shin | 2 | 215 | 21.85 |
| Yu Gwang Jin | 3 | 11 | 4.10 |
| Jeoung Hun Kim | 4 | 0 | 0.34 |
| Nam Soo Kim | 5 | 3 | 4.11 |