A novel hiss noise reduction method for audio signals based on MDCT - Details

Author：

Deng, Feng (Deng, Feng.) | Bao, Chang-Chun (Bao, Chang-Chun.) (Scholars：鲍长春) | Xia, Bing-Yin (Xia, Bing-Yin.) | Liang, Yan (Liang, Yan.)

Indexed by：

EI Scopus

Abstract：

A　kind　of　hiss　noise　reduction　method　used　for　audio　signal　is　proposed　by　Modified　Discrete　Cosine　Transform　(MDCT)　in　this　paper.　The　human　auditory　model　and　the　parametric　soft-thresholding　are　introduced　to　the　proposed　method.　A　modified　median　absolute　deviation　(MAD)　is　first　adopted　to　avoid　overestimate　of　noise　levels.　Next,　the　Modified　Discrete　Fourier　Transform　(MDFT)　is　constructed　using　the　pre-enhanced　MDCT　coefficients　and　the　masking　threshold　and　the　adaptive　masking　parameters　are　calculated　in　MDFT　domain.　Finally,　a　parametric　soft-thresholding　method　is　employed　to　attenuate　hiss　noise　significantly　and　keep　more　high-frequency　(HF)　information.　The　objective　and　subjective　listening　test　results　show　that　the　proposed　algorithm　outperforms　the　referenced　methods.　©　2011　IEEE.

Keyword：

Audition Discrete Fourier transforms Acoustic noise Audio signal processing Discrete cosine transforms Audio acoustics Atmospherics Signal denoising

Author Community：

[ 1 ] [Deng, Feng]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Bao, Chang-Chun]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Xia, Bing-Yin]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 4 ] [Liang, Yan]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China