Audio bandwidth extension based on Volterra series - Details

Author：

Zhang, Xing-Tao (Zhang, Xing-Tao.) | Bao, Chang-Chun (Bao, Chang-Chun.) (Scholars：鲍长春) | Liu, Xin (Liu, Xin.) | Zhang, Li-Yan (Zhang, Li-Yan.)

Indexed by：

EI Scopus PKU CSCD

Abstract：

In　this　paper,　a　bandwidth　extension　algorithm　of　wideband　audio　signal　is　proposed　based　on　Volterra　series　with　the　nonlinear　analysis　method.　The　Gaussian　mixture　model　and　codebook　mapping　algorithms　are　used　to　adjust　the　spectrum　envelope　and　energy　gain　of　the　extended　audio　signal　separately.　Test　results　indicate　that　the　proposed　method　outperforms　the　existing　nonlinear　algorithms.　When　the　noise-filling　method　used　in　ITU-T　G.722.1C　super-wideband　audio　codec　is　replaced　by　the　proposed　algorithm,　the　super-wideband　audio　quality　is　improved　at　24　kbps.

Keyword：

Bandwidth Conformal mapping Audio acoustics Gaussian distribution Nonlinear analysis

Author Community：

[ 1 ] [Zhang, Xing-Tao]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Bao, Chang-Chun]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Liu, Xin]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 4 ] [Zhang, Li-Yan]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China