Low Complexity Blind Separation Technique to Solve the Permutation Ambiguity of Convolutive Speech Mixtures

被引：0
|
作者：
Lima, Pedro F. C. [1 ]
Miranda, Ricardo Kehrle [1 ,2 ]
da Costa, Joao Paulo C. L. [1 ,2 ,3 ]
Zelenovsky, Ricardo [1 ]
Yuan, Yizheng [4 ]
Del Galdo, Giovanni [2 ,3 ]
机构：
[1] Univ Brasilia UnB, Dept Elect Engn, Brasilia, DF, Brazil
[2] Ilmenau Univ Technol, Inst Informat Technol, Ilmenau, Germany
[3] Fraunhofer Inst Integrated Circuits IIS, Erlangen, Germany
[4] Freie Univ, Berlin, Germany
来源：
2016 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ICSPCS) | 2016年
关键词：
blind speech separation; permutation ambiguity;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Microphone arrays can be incorporated in several devices ranging from hearing aids and bioacoustic recording equipment to teleconference phones and forensic sound recorders in order to attenuate the interference of unwanted sounds. The separation of speech mixtures can be easily performed on the frequency domain independently for each frequency component. However, in order to combine the separated signals of each frequency component, the permutation ambiguity should be solved. The state-of-the-art technique relies on an iterative computation of the dispersions of the differences between the source profiles. In this paper, we propose a low complexity solution for the permutation ambiguity with similar accuracy based on one dispersion.
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页数：10
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