Gbadamosi Safiu Abiodun,A. M. Aibinu,O.C.Ugweje,A. J Onumanyi ,E. N Onwuka,M. Aderinola2025-04-252015-06-15Gbadamosi, 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).http://repository.futminna.edu.ng:4000/handle/123456789/972This 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.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.enNon-parametricNon-intrusive signal denoising systemShort time fourier transformSpeech qualityOther