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 October 31, 2025, https://repository.horizon.ac.id/items/show/8887.