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

Abstract— In our present work, we propose a nature inspired population based speech enhancement technique 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). The performance of these proposed methods are evaluated in terms of Perceptual Evaluation of Speech Quality (PESQ) and Peak Signal to Noise Ratio (PSNR). Speech quality of different speech waves are compared for two level wavelet packet decomposition and dual tree wavelet transform using soft threshold. The speech qualities of the waves are better than the other available articles in the literature. KeywordSpeech enhancement, Dual tree complex wavelet transform, Teaching-Learning-based optimization, Perceptual Evaluation of Speech Quality