Spectral envelope estimation used for audio bandwidth extension based on RBF neural network - 文章详情页

作者：

Liu, Hao-Jie (Liu, Hao-Jie.) | Bao, Chang-Chun (Bao, Chang-Chun.) (学者：鲍长春) | Liu, Xin (Liu, Xin.)

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EI Scopus

摘要：

In　this　paper　a　new　spectral　envelope　estimation　method　based　on　radial　basis　function　(RBF)　neural　network　is　proposed　for　implementing　a　blind　bandwidth　extension　method　of　audio　signals.　To　make　the　sub-band　envelope　of　high-frequency　(HF)　components　accurately　recovered,　the　RBF　neural　network　is　utilized　to　fit　the　relationship　between　low-frequency　(LF)　features　and　sub-band　envelope　of　HF　components.　In　addition,　the　fine　structure　of　HF　components　which　can　guarantee　the　timber　of　the　extended　audio　signal　is　reconstructed　based　on　nonlinear　dynamics.　The　objective　and　subjective　test　results　indicate　that　the　proposed　method　outperforms　the　reference　methods.　©　2013　IEEE.

关键词：

Audio signal processing Bandwidth Radial basis function networks Speech communication

作者机构：

[ 1 ] [Liu, Hao-Jie]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

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