Adaptive Noise Cancellation in Speech Signals using Optimization Algorithms

被引：0

作者：

Anoop, V ^{[1
]}

Rao, P. V. ^{[2
]}

机构：

[1] Al Ameen Engn Coll, ECE Dept, Palakkad, Kerala, India

[2] Rajarajeswari Coll Engn, Dept ECE, Bangalore 74, Karnataka, India

来源：

2016 INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP), VOL. 1 | 2016年

关键词：

Adaptive Noise Cancellation; ABC Algorithm; Cuckoo Search; Speech Denoising; SNR; ENHANCEMENT; SUPPRESSION;

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：

Speech signal quality augmentation involves the challenge to scale down the noise and to perk up the transparency In this paper the performance of two optimization algorithms is compared for denoising the speech signal. The optimization techniques such as Artificial Bee Colony(ABC), Cuckoo Search (CS) algorithm, are used as adaptive algorithms for generating the parameters of adaptive filtering function required for optimum performance. Both techniques are analyzed for different noises at different levels. Performance of these algorithms is evaluated in terms of SNR. In the analysis it is found that CS algorithm gives 45% better result than ABC.

引用

页码：27 / 31

页数：5

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