Title :
Crossband filtering for stereophonic acoustic echo suppression
Author :
Chul Min Lee ; Jong Won Shin ; Yu Gwang Jin ; Jeoung Hun Kim ; Nam Soo Kim
Author_Institution :
Dept. of Electr. & Comput. Eng., Seoul Nat. Univ., Seoul, South Korea
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.
Keywords :
acoustic signal processing; echo suppression; fast Fourier transforms; statistical analysis; PSD vectors; SAES method; SAES technique; STFT domain; adjacent frequency bins; crossband filtering; echo estimation; power spectral density matrices; short-time Fourier transform domain; signal statistics; spectral correlations; stereophonic acoustic echo suppression; Acoustics; Correlation; Microphones; Signal processing algorithms; Signal to noise ratio; Speech; Vectors; Stereophonic acoustic echo suppression; crossband filtering; echo cancellation; signal-to-echo ratio; spectral correlations;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6853816