A Harmonic Bandwidth Extension based on Gaussian Mixture Model
For conventional bandwidth extension, the spectral patching methods, such as spectral folding, spectral translation and non-linear processing, are employed to reconstruct high frequency signal, yet it leads to the spectral shifting between reconstructed and original signal, and does not retain the original harmonic relations. In this paper, a blind harmonic bandwidth extension method from wideband to super-wideband was proposed by estimating the energy of high frequency spectral envelope with Gaussian mixture model (GMM). Both the objective and subjective test results show that proposed algorithm performs better than conventional blind bandwidth extension algorithms.
audio bandwidth extention harmonic bandwidth extention Gaussian mixture model
Xin LIU Chang-chun BAO Mao-shen JIA Yong-tao SHA
Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering,Beijing University of Technology, Beijing, China
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
474-477
2010-08-24(万方平台首次上网日期,不代表论文的发表时间)