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

Dublin Core

Title

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

Subject

Index Terms— Kalman Filter, Radial Basis Function, Speech Recognition

Description

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.

Creator

Mario Barnard,Farag M. Lagnf,Amr S. Mahmoud,Mohamed Zohdy

Source

www.ijcit.com

Date

March 2020

Contributor

peri irawan

Format

pdf

Language

english

Type

text

Files

Citation

Mario Barnard,Farag M. Lagnf,Amr S. Mahmoud,Mohamed Zohdy, “Speech Enhancement and Recognition using Kalman Filter Modified via Radial Basis Function,” Repository Horizon University Indonesia, accessed May 22, 2025, https://repository.horizon.ac.id/items/show/8887.