Non-intrusive noise reduction in GSM voice signal using non-parametric modeling technique

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Date

2015-06-15

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International Engineering Conference (IEC), School of Engineering and Engineering Technology, FUT Minna

Abstract

Noise degrades the quality and intelligibility of speech. It impedes speech clarity, coding, recognition and speaker identification. To mitigate noise effect and improve speech quality, we propose Non-parametric modeling technique along with a Non-intrusive signal denoising system based on short time Fourier transforms. This paper aims to establish only the idea behind our proposed algorithm, however, we present argument to justify that our results will reduce an end to end acoustic background noise; improve quality of speech for both the speaker and the listener and eventually increase throughput. Ultimately, users’ will be able to call and receive calls in a noisy environment while enjoying clarity of voice.

Description

This paper proposes Non-parametric modeling technique along with a Non-intrusive signal denoising system based on short time Fourier transforms to mitigate noise effect and improve speech quality.

Keywords

Non-parametric, Non-intrusive signal denoising system, Short time fourier transform, Speech quality

Citation

Gbadamosi, S.A., Aibinu, A.M., Ugweje, O.C., Onumanyi, A.J., Onwuka, E.N. and Aderinola, M., 2015, October. Non-intrusive noise reduction in GSM voice signal using non-parametric modeling technique. In IEC conference (pp. 264-269).

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