Bandwidth extension of audio signal based on SOM prediction model - Details

Author：

Bu, Bing (Bu, Bing.) | Bao, Chang-Chun (Bao, Chang-Chun.) (Scholars：鲍长春) | Liu, Xin (Liu, Xin.)

Indexed by：

EI Scopus

Abstract：

In　this　paper,　a　blind　bandwidth　extension　approach　is　proposed　based　on　prediction　model　of　self-organizing　map　(SOM).　Owing　to　nonlinear　characteristics　of　audio　spectrum　series,　the　fine　spectrum　of　low-frequency　(LF)　information　is　first　described　based　on　the　principles　of　nonlinear　dynamic,　and　then　phase　points　are　derived　from　reconstructing　fine　spectrum　in　phase　space.　Next,　these　phase　points　are　trained　by　SOM　algorithm　to　obtain　the　SOM　structure.　Thus,　the　fine　structure　of　high-frequency　spectrum　can　be　recovered　with　SOM　prediction　model.　Combining　with　Gaussian　mixture　model　(GMM)　to　adjust　spectral　envelope　of　extended　high-frequency　(HF)　components,　the　bandwidth　of　wideband　audio　signal　is　extended　to　super-wideband.　Both　subjective　and　objective　testing　results　demonstrate　that　the　proposed　method　outperforms　the　reference　approaches　in　most　cases.　©　2012　IEEE.

Keyword：

Self organizing maps Conformal mapping Bandwidth Forecasting Signal processing Subjective testing Gaussian distribution Phase space methods

Author Community：

[ 1 ] [Bu, Bing]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 ] [Liu, Xin]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China