A Heuristic Speech De-noising with the aid of Dual Tree Complex Wavelet Transform using Teaching-Learning Based Optimization

摘要

In our present work, we propose a nature inspired population based speech enhancementtechnique to find the dynamic threshold value using Teaching-Learning Based Optimization (TLBO)algorithm by using shift invariant property of dual tree complex wavelet transform (DT-CWT). Theperformance of these proposed methods are evaluated in terms of Perceptual Evaluation of SpeechQuality (PESQ) and Peak Signal to Noise Ratio (PSNR). Speech quality of different speech waves arecompared for two level wavelet packet decomposition and dual tree wavelet transform using softthreshold. The speech qualities of the waves are better than the other available articles in the literature.