Earticle

초록

영어

This paper presents the enhancement of speech signals in a noisy environment based on Wavelet Based Adaptive filtering (WAF). In this technique, the speech signals contaminated with noise are processed through the WAF. The adaptive algorithm based on least squares, updates the weighting factors of the filter to keep the difference between input and desired signal at a minimum level to eliminate the unwanted noise and interferences. The performance of the proposed method is evaluated by computing the Signal-to-Noise Ratio (SNR), Peak Signal-to-Noise Ratio (PSNR), Root-Mean-Square-Error (RMSE), Percentage Root Mean Square Difference (PRD) after denoising. The investigation on speech signals contaminated by noise has demonstrated that the performance of the proposed method is stable and reliable in the noisy environment.

목차

Abstract
 1. Introduction
 2. Proposed Methodology
 3.1 LMS Algorithm
 4. Performance Analysis
  4.1 Root Mean Square Error (RMSE)
  4.2 Signal to Noise Ratio (SNR)
  4.3 Peak Signal to Noise Ratio (PSNR)
  4.4 Percentage Root Mean Square Difference (PDR)
 5. Simulation Results and Evaluation
 6. Conclusion and Future Work
 7. References
  7.1. Journal Article
  7.2. Book
  7.3. Chapter in a Book
  7.4. Conference Proceedings

키워드

저자

• G. Renisha [ Assistant Professor, Dept. of Electronics and Communication Engineering, Govt. College of Engineering, Tirunelveli, India ]
• T. Jayasree [ Assistant Professor, Dept. of Electronics and Communication Engineering, Govt. College of Engineering, Tirunelveli, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605