e-ISSN : 0975-3397
Print ISSN : 2229-5631
Home | About Us | Contact Us

ARTICLES IN PRESS

Articles in Press

ISSUES

Current Issue
Archives

CALL FOR PAPERS

CFP 2021

TOPICS

IJCSE Topics

EDITORIAL BOARD

Editors

Indexed in

oa
 

ABSTRACT

Title : Modified Kalman Filter-based Approach in Comparison with Traditional Speech Enhancement Algorithms from Adverse Noisy Environments
Authors : G. Ramesh Babu, Rameshwara Rao
Keywords : Speech enhancement, Kalman filtering, SNR, PESQ
Issue Date : February 2011.
Abstract :
The paper presents a new speech enhancement approach for a single channel speech enhancement in a noise environment. In this method speech is mixed with real-world noises from babble, car and street environments. In this paper we proposed modified Kalman method for effective speech enhancement. The proposed method is compared to the traditional Spectral Subtraction (SS), Wiener Filter (WF), Minimum Mean Square Error (MMSE) and Wavelet based Filter (WAVELET). Experiments showed that the modified algorithm can give better SNR improvement and Subjective evaluation tests demonstrate significant improvement results over classical algorithms, when tested with speech signal corrupted a posterior by various noises at different signal to noise ratios.
Page(s) : 744-759
ISSN : 0975–3397
Source : Vol. 3, Issue.02

All Rights Reserved © 2009-2024 Engg Journals Publications
Page copy protected against web site content infringement by CopyscapeCreative Commons License