Speech Enhancement and Recognition using Kalman Filter Modified via Radial Basis Function

Authors

  • Mario Barnard Department of Electrical and Computer Engineering Oakland University Rochester, MI, USA
  • Farag M. Lagnf Department of Electrical and Computer Engineering Oakland University Rochester, MI, USA
  • Amr S. Mahmoud Department of Electrical and Computer Engineering Oakland University Rochester, MI, USA
  • Mohamed Zohdy Department of Electrical and Computer Engineering Oakland University Rochester, MI, USA

DOI:

https://doi.org/10.24203/ijcit.v9i2.5

Keywords:

Kalman Filter, Radial Basis Function, Speech Recognition

Abstract

In this paper, a Radial Basis Function-based Kalman filter has been utilized to perform speech enhancement of an audio signal. Moreover, in order to accomplish speech recognition, correlation after detecting signal envelop has been applied. Based on the simulation result, it shows that using the radial basis function-based Kalman filter (non-linear functions to estimate Q parameter) should lead to obtain better results.

Downloads

Published

2020-03-15

Issue

Vol. 9 No. 2 (2020): March 2020

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

The articles published in International Journal of Computer and Information Technology (IJCIT) is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

Speech Enhancement and Recognition using Kalman Filter Modified via Radial Basis Function . (2020). International Journal of Computer and Information Technology(2279-0764), 9(2). https://doi.org/10.24203/ijcit.v9i2.5

Similar Articles

11-19 of 19

You may also start an advanced similarity search for this article.