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Speech enhancement and noise reduction have wide applications in speech processing. They are often employed as a pre-processing stage in various applications. Two points are often required to be considered in signal de-noising applications: eliminating the undesired noise from signal to improve the Signal to Noise Ratio (SNR) and preserving the shape and characteristics of the original signal. Background noise in speech signal will reduce the speech intelligibility for people with hearing loss especially for sensorineural loss patients. The proposed algorithm describes Hadamard - Least Mean Square algorithm with DCT pre processing technique to improve the SNR and to reduce the Mean Square Error (MSE).
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