A MDCT-based click noise reduction method for MPEG-4 AAC codec - Details

Author：

Chen, Hao (Chen, Hao.) | Bao, Changchun (Bao, Changchun.) (Scholars：鲍长春) | Deng, Feng (Deng, Feng.) | Zhang, Dawei (Zhang, Dawei.) | Jia, Maoshen (Jia, Maoshen.)

Indexed by：

EI Scopus

Abstract：

A　MDCT-based　click　noise　reduction　approach　used　for　MPEG-4　AAC　codec　is　proposed　in　this　paper.　This　noise　reduction　technique　can　be　embedded　in　MPEG-4　AAC　codec　as　a　function　module　of　audio　restoration.　The　proposed　method　contains　two　parts:　click　noise　detection　and　click　noise　removal.　The　click　noise　detection　is　further　divided　in　two　steps.　Firstly,　the　window　type　for　MDCT　is　decided　by　perceptual　entropy　(PE).　Secondly,　the　spectral　entropy　(SE)　of　clean　audio　signal　and　noisy　signal　can　be　calculated　and　the　position　of　clicks　noise　can　be　determined　using　minimum　error　Bayesian　decision.　A　MAD-based　soft-thresholding　criterion　is　adopted　for　click　noise　removal.　In　addition,　the　spectral　smoothing　is　employed　in　the　adjacent　frames.　The　test　results　indicate　that　the　proposed　algorithm　can　improve　the　audio　quality　and　provide　a　comparable　performance　with　conventional　click　noise　method.　©　2011　IEEE.

Keyword：

Spectrum analysis Entropy Signal processing Acoustic noise Audio acoustics Sound reproduction Motion Picture Experts Group standards

Author Community：

[ 1 ] [Chen, Hao]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Bao, Changchun]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China
[ 3 ] [Deng, Feng]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China
[ 4 ] [Zhang, Dawei]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China
[ 5 ] [Jia, Maoshen]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China