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Noise is the unsafe mechanical toxin that causes serious hearing misfortune in labors of each nation on the planet. The labors in enterprises like mining, development, printing, saw factories, smashers are in danger. They are presented to elevated levels of noise all through their lifetime of work, yet there are not very many NIHL concentrates in India to show its reality. The loud noises can be heard in the airports while the flight takes off, at construction sites and many other industries. These sounds may cause irritation, headaches, and other major health problems that may not allow the person to work in such conditions. This biomedical project includes the process of reduction of noises that are being prevailed during the working of the individual and will allow him to differentiate the types of noises around. In this paper we have introduced Hybrid algorithm which is combination of Sign-Sign LMS and MPNLMS to reduce the sparse noise with betterment of speech quality. The increase in SNR segmentation for SS-MPNLMS is around 1.45 dB to 4.07 dB and 35.71 % to 88.68 % of the MSE also 2.47% to 44.4% improvement of PSNR as compared to the algorithms available for different sounds with different SNR input levels. They will be able to enhance the speech quality during work, reduction of noises will be seen and his hearing ability will not get damaged with the help of the software that is being proposed. [ABSTRACT FROM AUTHOR]