AN EFFICIENT MODIFIED CUCKOO SEARCH BASED NOISE DESTRUCTION AND IMPROVEMENT OF SPEECH SIGNAL QUALITY

Abstract

The harmonic signal takes its origin from a restricted spectral illustration of a voice signal. It is integrated with at least a section of the restricted delayed spectral signal to furnish a reconstructed speech signal equipped with conceptually enhanced audio quality. Speech signal quality augmentation involves the challenge to scale down the noise and to perk up the transparency. In this document, we valiantly launch an effective noise destruction method for perfection of speech signals by means of the modified cuckoo search algorithm. At first stage, the Input original signal and noisy speech signal features are extracted using the Amplitude Magnitude Spectrogram (AMS). Then the signals are classified in order to generate the initial population. The Second stage is to generate the best weight using modified cuckoo search algorithm and in the third stage, Ranking and Merging is used in order to improve the quality by ranking the best solution from the merging of Modified levy flight and Velocity in PSO. Hence the underlying objective, in this regard, is to boost the speech signal quality and do away with the noise prevalent in the signal. The cheering outcomes achieved have unequivocally ratified effectiveness of our proposed technique and is able to destruct noise and to improve the quality of the speech signal