Single Microphone Speech Enhancement Using General Kalman Filter and Estimate Maximization Frame work

Authors

  • Vijay Kiran Battula M. Tech Scholar, Department of Electronics and Communication Engineering, JNTUK-UCEV, Vizianagaram
  • Nagaraju Tatipudi M. Tech Scholar, Department of Electronics and Communication Engineering, GMRIT, Rajam, Srikakulam

Keywords:

General Kalman Filter, Speech Enhancement, Estimate maximization.

Abstract

The adverse effects of noise from various sources on speech signal are aimed to minimize in every speech
enhancement algorithm. Non-stationary behavior of both speech and noise becomes a challenging problem. In this paper
we present a method for speech enhancement which uses General Kalman Filter .GKF is one of the forms derived from
popular kalman filter mostly used in echo cancellation application. An Estimate maximization (EM)frame work
accompanied with GKF deals effectively with noise and its effects. The simulation results show that proposed method is
dominant over some popular algorithm’s.

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Published

2016-05-25

Issue

Vol. 3 No. 5 (2016): Volume 3 Issue 5 May-2016

Section

Articles

How to Cite

Single Microphone Speech Enhancement Using General Kalman Filter and Estimate Maximization Frame work. (2016). International Journal of Advance Engineering and Research Development (IJAERD), 3(5), 213-217. https://ijaerd.org/index.php/IJAERD/article/view/1468

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