电子学报2016，Vol.44Issue(9)：2203-2210,8.DOI:10.3969/j.issn.0372-2112.2016.09.027
基于局部最小二乘支持向量机的音频频带扩展方法
Audio Bandwidth Extension Method Based on Local Least Square Support Vector Machine
摘要
Abstract
The auditory quality of wideband audio is generally degraded due to the lack of the high-frequency in net-work transmission,so this paper presents a kind of audio bandwidth extension method from wideband to super wideband based on local least square support vector machine.In the light of the nonlinearity of audio spectrum,the high-frequency fine spectrum of audio signals is predicted by using phase space reconstruction and local least square support vector machine. Combining with the estimation of high-frequency sub-band energy based on Gaussian mixture model,the proposed method can effectively recover the high-frequency components in the frequency range 7kHz~14kHz through the envelope adjust-ment of high-frequency spectrum at last.Subjective and objective testing results indicate that the proposed method improves the auditory quality of wideband audio and outperforms the reference methods of audio bandwidth extension.关键词
音频编码/频带扩展/高斯混合模型/局部最小二乘支持向量机Key words
audio coding/bandwidth extension/Gaussian mixture model/local least square support vector machine分类
信息技术与安全科学引用本文复制引用
白海钏,鲍长春,刘鑫..基于局部最小二乘支持向量机的音频频带扩展方法[J].电子学报,2016,44(9):2203-2210,8.基金项目
国家自然科学基金项目 （）
