Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/6822
Title: Non-Intrusive Noise Reduction in GSM Voice Signal Using Non-Parametric Modeling Technique.
Authors: Gbadamosi, Safiu Abiodun
Aibinu, Musa Abiodun
Ugweje, Okechukwu, C
Onumanyi, Adeiza, James
Onwuka, Elizabeth, N.
Aderinola, Musefiu
Keywords: Non-parametric, Non-intrusive signal denoising system, Short time Fourier transform, Speech quality.
Issue Date: 13-Jun-2015
Publisher: International Engineering Conference
Citation: Gbadamosi, A. S., Aibinu, A. M., Ugweje, O. C., Onumanyi, A. J., Onwuka, E. N., & Aderinola, M. (2015). Non-Intrusive Noise Reduction in GSM Voice Signal Using Non-Parametric Modeling Technique. In IEC conference (pp. 264-269).
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 a 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 an argument to justify that our results will reduce an end-to-end acoustic background noise; improve the 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: Speech Processing
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/6822
Appears in Collections:Electrical/Electronic Engineering

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