Speech Enhancement Using Hybrid Optimization Technique

被引：2
|
作者：
Anoop, V. [1 ]
Rao, P. V. [2 ]
机构：
[1] VTU Belgaum, Dept Elect & Commun Engn, Belagavi 590018, Karnataka, India
[2] Rajarajeswari Coll Engn, Dept Elect & Commun Engn, Bangalore 560074, Karnataka, India
来源：
1ST GLOBAL COLLOQUIUM ON RECENT ADVANCEMENTS AND EFFECTUAL RESEARCHES IN ENGINEERING, SCIENCE AND TECHNOLOGY - RAEREST 2016 | 2016年 / 25卷
关键词：
Speech Enhancement; Cuckoo Search(CS); Adaptive Cuckoo Search; Hybrid Optim zat on; SNR;
D O I：
10.1016/j.protcy.2016.08.074
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, an efficient method for speech enhancement based on hybrid optimization technique is proposed. Here the global evolutionary algorithms such as Cuckoo Search (CS) and Particle Swarm Optimization (PSO) are used to develop the hybrid optimization technique. The paper compares the efficiency of this hybrid technique with the conventional adaptive algorithms and CS algorithm. The parameter Signal to Noise Ratio (SNR) is used to evaluate the performance of these algorithms. The obtained result proves the efficiency of the proposed technique over conventional methods. The proposed hybrid method gives 28% better SNR. (C) 2016 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：5 / 11
页数：7
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