Blind speech signals separation based on Borel measure peaks for under-determined mixtures

GUO Wen-qiang1; QIU Tian-shuang1; ZHA Dai-feng1

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Blind speech signals separation based on Borel measure peaks for under-determined mixtures

更新时间：2024-10-14

- Blind speech signals separation based on Borel measure peaks for under-determined mixtures
- Issue 9, Pages: 22-26(2007)
- 作者机构：
  
  1. 大连理工大学电子与信息工程学院
  2. 大连理工大学电子与信息工程学院辽宁大连116024 新疆财经大学计算机系
  3. ,新疆,乌鲁木齐,830012
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN912.3
- Published：2007
- 稿件说明：
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GUO Wen-qiang1, QIU Tian-shuang1, ZHA Dai-feng1. Blind speech signals separation based on Borel measure peaks for under-determined mixtures[J]. 2007, (9): 22-26.
DOI：

GUO Wen-qiang1, QIU Tian-shuang1, ZHA Dai-feng1. Blind speech signals separation based on Borel measure peaks for under-determined mixtures[J]. 2007, (9): 22-26. DOI：

摘要

简要介绍稳定分布的特征函数及其Borel测度表示

给出了Borel测度的估计方法

并利用Borel测度的峰值确定混合矩阵的基矢量

从而可以确定各个独立分量

实现信号的盲分离。计算机模拟和分析表明

这种算法是一种在高斯和分数低阶Alpha稳定分布噪声条件下具有良好韧性的独立分量分析与盲源分离方法

在盲语音混合信号的分离应用中也得到了很好的效果。

Abstract

The statistical characteristics of stable distribution was briefly introduced

and a new method for identifying the independent components of an Alpha-stable random vector for under-determined mixtures was proposed.The method was based on an estimate of the discrete spectral measure for the characteristic function of an Alpha-stable random vector.Simulations demonstrate that the proposed method can identify independent components and the basis vectors of mixing matrix in the so-called under-determined case of more sources than mixtures

and obtained the good effect in the speech signals separation application.

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