Abstract
This Letter proposes an optimal gain filter for the perceptual acoustic echo suppressor. We designed an optimally-modified log-spectral amplitude estimation algorithm for the gain filter in order to achieve robust suppression of echo and noise. A new parameter including information about interferences (echo and noise) of single-talk duration is statistically analyzed, and then the speech absence probability and the a posteriori SNR are judiciously estimated to determine the optimal solution. The experiments show that the proposed gain filter attains a significantly improved reduction of echo and noise with less speech distortion.
Original language | English |
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Pages (from-to) | 1320-1323 |
Number of pages | 4 |
Journal | IEICE Transactions on Information and Systems |
Volume | E92-D |
Issue number | 6 |
DOIs | |
Publication status | Published - 2009 |
Keywords
- Acoustic echo cancellation system
- Auditory spectral envelope
- Optimally-modified log-spectral amplitude
- Perceptual acoustic echo suppressor
ASJC Scopus subject areas
- Software
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Artificial Intelligence