Cart (Loading....) | Create Account
Close category search window

Noise Estimation Based on Soft Decisions and Conditional Smoothing for Speech Enhancement

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)

In this paper, the speech presence probability (SPP) based method for noise power spectral density (PSD) estimation is studied. It is shown that the SPP can be represented using a sigmoid function. This function offers more flexibility, since the slope and the mean of the sigmoid function can be adjusted independently for a better trade-off between noise overestimation and underestimation. Also, when the sigmoid function is mapped only to the a posteriori SNR with fixed priors, the decisions might be too soft for the noise PSD estimate to update the noise power. Thus, harder decisions based on conditional smoothing is employed on top of the sigmoid function. This results in a better performance in terms of noise tracking and speech quality when compared to the reference methods. Index Terms ?? Speech enhancement, noise estimation

Published in:

Acoustic Signal Enhancement; Proceedings of IWAENC 2012; International Workshop on

Date of Conference:

4-6 Sept. 2012

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.