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Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2009 / Cilt: 9 - Sayı: 1

Comparative study of a priori signal-to-noise ratio (SNR) estimation approaches for speech enhancement

Md. Faqrul Alam CHOWDHURY
Md. Fasiul ALAM
Md. Jahangir ALAM
Pages
807–817
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

This paper presents a comparative study of different a priori SNR estimation methods and a performance evaluation of a Wiener denoising technique using those methods by the extensive objective quality measures under various noisy environments.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The problem of noise reduction has attracted a considerable amount of research attention over the past several decades.
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Key Findings & Data:Among the numerous techniques that were developed, 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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Conclusion & Impact:This paper presents a comparative study of different a priori SNR estimation methods and a performance evaluation of a Wiener denoising technique using those methods by the extensive objective quality measures under various noisy environments.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The problem of noise reduction has attracted a considerable amount of research attention over the past several decades. Among the numerous techniques that were developed, 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. So an a priori SNR estimator is a very important component of the Speech enhancement algorithm, especially if the algorithm should be capable of handling non-stationary noise. This paper presents a comparative study of different a priori SNR estimation methods and a performance evaluation of a Wiener denoising technique using those methods by the extensive objective quality measures under various noisy environments.

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Cite This Article

CHOWDHURY, M. F. A., ALAM, M. F., ALAM, M. J. (2022). Comparative study of a priori signal-to-noise ratio (SNR) estimation approaches for speech enhancement. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 9 - Sayı: 1, 807–817. https://ajindex.com/articles/543726

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