By Topic

Speech processing utilizing the Kalman filter

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
$33 $13
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

1 Author(s)
Sharon Gannot ; Faculty of Engineering, Bar-Ilan University, Israel

The Kalman filter is one of the most widely applied tools in the statistical signal processing field, especially in the context of causal online applications [1]. This article presents an introduction to the Kalman filter; the desired signal and its corresponding measurements are modeled, the Kalman filter is formulated and presented with an intuitive explanation of the involved equations, applications of the filter are given in the context of speech processing, and examples of two popular applications in speech enhancement and speaker tracking are provided.

Published in:

IEEE Instrumentation & Measurement Magazine  (Volume:15 ,  Issue: 3 )