Non-intrusive noise reduction in GSM voice signal using non-parametric modeling technique
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Date
2015-06-15
Journal Title
Journal ISSN
Volume Title
Publisher
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).