| 基于自然梯度的语音盲分离算法 |
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| 引用本文： | 王秀慧,职振华.基于自然梯度的语音盲分离算法[J].电声技术,2009,33(1):63-64. |
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| 作者姓名： | 王秀慧 职振华 |
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| 作者单位： | 1. 石家庄邮电职业技术学院,河北,石家庄,050021
2. 太原理工大学信息工程学院,山西,太原,030024 |
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| 摘 要： | 对于自适应自然梯度算法,选择步长参数以达到好的分离性能是非常必要的。提出了一种步长自适应自然梯度算法。由于该算法中的步长基于分离状态,其学习速率由信号的分离程度自适应选取,因而能很好地解决收敛速度与稳态误差之间的矛盾。计算机模拟试验结果显示,该算法优于传统的自然梯度算法。
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| 关 键 词： | 自然梯度算法 步长自适应 收敛速度 稳态误差 |
Speech Blind Separation Algorithm Based on Natural Gradient |
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| WANG Xiu-hui,ZHI Zhen-hua.Speech Blind Separation Algorithm Based on Natural Gradient[J].Audio Engineering,2009,33(1):63-64. |
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| Authors: | WANG Xiu-hui ZHI Zhen-hua |
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| Affiliation: | 1.Shijiazhuang Postal and Telecommunications Vocational Technical College;Shijiazhuang 050021;China;2.Information Engineering Institute;Taiyuan University of Technology;Taiyuan 030024;China |
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| Abstract: | Careful selection of step-size parameters is often necessary to obtain good performance from adaptive natural gradient algorithm.An adaptive step-size natural gradient algorithm is proposed.Because the step-size of the algorithm is based on separating state, the learning ratio is chosen adaptively according to separating degree, and it can improve convergence speed and reduce the misadjustment error in the steady state simultaneously.The simulation results demonstrate the performance of the proposed algorit... |
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| Keywords: | natural gradient algorithm adaptive step-size convergence speed misadjustment error |
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