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
Collection
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.