A Study of the Cocktail Party Problem

被引：0
|
作者：
Parande, Poorva G. [1 ]
Thomas, T. G. [1 ]
机构：
[1] BITS Pilani, Dept Elect & Elect Engn, Dubai Campus, Dubai, U Arab Emirates
来源：
2017 INTERNATIONAL CONFERENCE ON ELECTRICAL AND COMPUTING TECHNOLOGIES AND APPLICATIONS (ICECTA) | 2017年
关键词：
Cocktail Party Problem; Blind Source Separation; Independent Component Analysis; Principal Component Analysis; De-noising; Extraction; Segregation; source signals;
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：
This paper addresses the "Cocktail Party Problem" which refers to the problem of perceiving speech in a noisy social setting. Some of the commonly used methods used to address the problem are compared. The present study focuses on Independent Component Analysis which gives fairly effective results. MATLAB simulation results using Independent Component Analysis and Principal Component Analysis are presented.
引用
收藏
页码：552 / 556
页数：5
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