Bandwidth Extension of Audio Signal based on SOM Prediction Model
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.
audio bandwidth extension phase space reconstruction self-organizing map
Bing BU Chang-chun BAO Xin LIU
Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100 t 24, China
国际会议
2012 IEEE 11th International Conference on Signal Processing (第11届IEEE信号处理国际会议)
北京
英文
485-488
2012-10-21(万方平台首次上网日期,不代表论文的发表时间)