Title: Modifying the power spectrum of the LPC model within Kalman filtering for speech enhancement

Authors: Tarek Mellahi; Adil Bouhous; Rachid Hamdi

Addresses: Scientific and Technical Research Centre for the Development of Arabic Language – CRSTDLA, Algiers, Algeria ' Scientific and Technical Research Centre for the Development of Arabic Language – CRSTDLA, Algiers, Algeria ' LASA Laboratory, Department of Electronics, Faculty of Engineering, Badji Mokhtar-Annaba University, Annaba, 23000, Algeria

Abstract: We focused on enhancing speech improvement algorithms by addressing the challenge of extracting high-quality LPC parameters from noisy speech. The Kalman filter is a widely used algorithm in speech enhancement, and we aim to improve it by modifying the power spectrum parameters through a new approach called the modified power spectrum method within the LPC model for the Kalman Filter algorithm (MPS-LPC-KF). We evaluated our method using the NOIZEUS corpus and found it outperformed other existing methods. We are excited to see that our research has the potential to advance speech enhancement algorithms and ultimately improve communication in noisy environments.

Keywords: Kalman filtering; speech enhancement; modified power spectrum method.

DOI: 10.1504/IJBET.2025.144947

International Journal of Biomedical Engineering and Technology, 2025 Vol.47 No.3, pp.241 - 258

Received: 25 Apr 2024
Accepted: 30 Jun 2024
Published online: 13 Mar 2025 *

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