Acta Marisiensis.
Seria Technologica

Author(s):
Amina JIBRIL, Ashraf Adam AHMAD, Sagir LAWAN, Farouk Muhammad ISAH, Nigerian Defence Academy

Abstract:
This research focuses on the development of a source separation algorithm tailored to significantly enhance audio processing in noisy environments. By utilising advanced signal processing techniques and algorithms based on time-frequency analysis, the study explores the effectiveness of the Compact Kernel Distribution (CKD) for this purpose. Performance was evaluated using key metrics such as Signal-to-Interference Ratio (SIR), Source-to-Distortion Ratio (SDR), and Signal-to-Noise Ratio (SNR). Notable improvements were observed: SIR improved by 4.90% and decreased by 5.36%, while SDR improved by 66.47% and 58.08% at SNR of 5 dB SNR for the audio recordings signals compared to Max-Corr and Simplex-Corr, respectively. The results demonstrate that the developed algorithm significantly enhances SIR, SDR, and SNR metrics, with potential applications across various industries, including speech enhancement.

DOI: https://doi.org/10.62838/amset-2024-0011

Pages: 6-14

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