Speech Signal Enhancement with Integrated Weighted Filtering for PSNR Reduction in Multimedia Applications

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Speech Signal Enhancement with Integrated Weighted Filtering for PSNR Reduction in Multimedia Applications
T.Veeramakal^1,*, Syed Raffi Ahamed J² and Bagiyalakshmi N³
¹Associate Professor, Department of Data Science and Business Systems, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, 603203, India.
²Assistant Professor, Department of Computer Applications, Karpaga Vinayaga College of Engineering and Technology, Maduranthagam Taluk, Tamil Nadu, 603308, India.
³Assistant Professor, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Thandalam, Mevalurkuppam, Tamil Nadu 602105, India.
^*Corresponding Author Name: T.Veeramakal. Email: veeramat@srmist.edu.in
Journal of Computer Allied Intelligence(JCAI),30 June 2024,2(3),1-14
Received: 15 May 2024 Accepted: 20 June 2024 Published: 30 June 2024

This paper investigates the effectiveness of the Weighted Kalman Integrated Band Rejection (WKBR) method for enhancing speech signals in multimedia applications. Speech enhancement is crucial for improving the quality and intelligibility of audio in environments with varying noise types and levels. The WKBR method is evaluated across ten different noise scenarios, including white noise, babble noise, street noise, airplane cabin noise, and more. Performance metrics such as Peak Signal-to-Noise Ratio (PSNR), Mean Squared Error (MSE), and Short-Time Objective Intelligibility (STOI) are used to quantify the enhancement. The results show significant improvements, with PSNR increasing from an average of 12.8 dB before enhancement to 21.9 dB after enhancement, MSE reducing from an average of 0.0179 to 0.0053, and STOI scores improving from an average of 0.58 to 0.75. These findings highlight the potential of WKBR as a powerful tool for speech signal enhancement, making it a promising solution for real-world multimedia applications where clear and intelligible speech is essential.
Keywords: – Speech Signal; Kalman Filter; Speech Enhancement; Classification; Multimedia.
Citation : T. Veeramakali, Syed Raffi Ahamed J and Bagiyalakshmi N “Speech Signal Enhancement with Integrated Weighted Filtering for PSNR Reduction in Multimedia Applications”, Journal of Computer Allied Intelligence (JCAI), vol.02, no.03, pp.1-14,2024.