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Usually, hearing impaired people use hearing aids which are implemented withspeech enhancement algorithms. Estimation of speech and estimation of nose arethe components in single channel speech enhancement system. The main objectiveof any speech enhancement algorithm is estimation of noise power spectrum fornon stationary environment. VAD (Voice Activity Detector) is used to identifyspeech pauses and during these pauses only estimation of noise. MMSE (MinimumMean Square Error) speech enhancement algorithm did not enhance theintelligibility, quality and listener fatigues are the perceptual aspects ofspeech. Novel evaluation approach SR (Signal to Residual spectrum ratio) basedon uncertainty parameter introduced for the benefits of hearing impaired peoplein non stationary environments to control distortions. By estimation andupdating of noise based on division of original pure signal into three partssuch as pure speech, quasi speech and non speech frames based on multiplethreshold conditions. Different values of SR and LLR demonstrate the amount ofattenuation and amplification distortions. The proposed method will comparedwith any one method WAT(Weighted Average Technique) Hence by using parametersSR (signal to residual spectrum ratio) and LLR (log like hood ratio), MMSE(Minim Mean Square Error) in terms of segmented SNR and LLR.

A Novel Uncertainty Parameter SR (Signal To Residual Spectrum Ratio) Evaluation Approach For Speech Enhancement