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Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2013 / Cilt: 13 - Sayı: 1

Wiener denoising based on perceptual frequency weighting and noise spectrum shaping

Jahangir ALAM
Faqrul Alam CHOWDHURY
Fasiul ALAM
Pages
1589–1595
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Incorporation of PFWF and/or NSSF (Noise spectrum shaping filter) into the Weiner denoising technique improves the performance of the speech enhancement system.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Among the numerous noise reduction techniques that were developed over the past several decades, the Wiener filter can be considered as one of the most fundamental noise reduction approaches, which has been delineated in different forms and adopted in various applications.
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Key Findings & Data:An important parameter of numerous speech enhancement algorithms is the a priori signal-to-noise ratio (SNR).
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Conclusion & Impact:Incorporation of PFWF and/or NSSF (Noise spectrum shaping filter) into the Weiner denoising technique improves the performance of the speech enhancement system.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Among the numerous noise reduction techniques that were developed over the past several decades, the Wiener filter can be considered as one of the most fundamental noise reduction approaches, which has been delineated in different forms and adopted in various applications. An important parameter of numerous speech enhancement algorithms is the a priori signal-to-noise ratio (SNR). The Wiener filter emphasizes portions of the noisy signal spectrum where SNR is high and attenuates portions of the spectrum where the SNR is low. An adaptive time varying filter can be used for whitening the noisy speech signal corrupted by narrow-band noise whereas by enhancing the signal using Perceptual frequency weighting filter (PFWF), formant regions of the noisy speech spectrum can be made less affected for a given SNR. Incorporation of PFWF and/or NSSF (Noise spectrum shaping filter) into the Weiner denoising technique improves the performance of the speech enhancement system.

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Cite This Article

ALAM, J., CHOWDHURY, F. A., ALAM, F. (2022). Wiener denoising based on perceptual frequency weighting and noise spectrum shaping. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 13 - Sayı: 1, 1589–1595. https://ajindex.com/articles/543666

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