Improve Speech Enhancement Using Weiner Filtering

Dr. S.China Venkateswarlu; Dr. K.Satya Prasad

Improve Speech Enhancement Using Weiner Filtering

Dr. S.China Venkateswarlu * §

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Dr. K.Satya Prasad

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agaralas

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JNTU Kakinada

Improve Speech Enhancement Using Weiner Filtering

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Abstract

Speech enhancement aims to improve speech quality by using various algorithms. It may sound simple, but what is meant by the word quality. It can be at least clarity and intelligibility, pleasantness, or compatibility with some other method in speech processing. Wiener filter are rather simple and workable, but after the estimation of the background noise, one neglects the fact that the signal is actually speech. Furthermore, the phase component of the signal is left untouched. However, this is perhaps not such a bad problem; after all, human ear is not very sensitive to phase changes. The third restriction in spectral subtraction methods is the processing of the speech signal in frames, so the Proceeding from one frame to another must be handled with care to avoid discontinuities. Noise reduction is a key-point of speech enhancement systems in hands-free communications. A number of techniques have been already developed in the frequency domain such as an optimal short-time spectral amplitude estimator proposed by Ephraim and Malah including the estimation of the a priori signal-to-noise ratio. This approach reduces significantly the disturbing noise and provides enhanced speech with colorless residual noise. In this paper, we propose a technique based on a Wiener filtering under uncertainty of signal presence in the noisy observation. Two different estimators of the a priori signal-to-noise ratio are tested and compared. The main interest of this approach comes from its low complexity. In this paper we demonstrate the application of weiner filter for a speech signal using Matlab 7.1 and signal processing toolbox.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. S.China Venkateswarlu, Dr. K.Satya Prasad, agaralas. 1970. "Improve Speech Enhancement Using Weiner Filtering". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 7).

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GJCST Volume 11 Issue 7

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST Classification H.5.2

I.2.7

Submission ReceivedFebruary 28, 2011
Peer Review Double Blind
Handling Editor
Accepted March 22, 2011
Published April 6, 2011

Version of record

v1.2

Issue date

May 6, 2011

Language

English

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Article Matrices

Total Score: 158

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. S.China Venkateswarlu, Dr. K.Satya Prasad , Dr. A.SubbaRami Reddy (PhD/Dr. count: 3)

View Count (all-time): 259

Total Views (Real + Logic): 8579

Total Downloads (simulated): 397

Publish Date: 2011 04, Wed

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Total Views: 8.6K

Total Downloads: 397

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