STUDY & IMPLEMENTATION ON SPEECH SYNTHESIS BY SPARSE MODELLING & ERROR MINIMIZATION IN NOISY ENVIRONMENT

Abstract: The aim of the noise reduction algorithms is to estimate the clean speech signal from the noisy recordings in order to improve the quality and intelligibility of the enhanced signal. Due to this, it proposes a method for speech enhancement using mask estimation iteratively. In this work, it provides speech enhancement under different noisy conditions. The use of speech enhancement algorithm removes or reduces the presence of noise. The aim of the noise reduction algorithms is to estimate the clean speech signal from the noisy recordings in order to improve the quality and intelligibility of the enhanced signal. Due to this, it presents a method for speech enhancement using mask estimation iteratively. In this work, it provides the concept of optimization of cost function by iterative method. This helps for reducing the noise from signal. All simulations are implemented in MATLAB.

Keywords: : Speech Enhancement, Speech Processing, Noise Filtering, Sparse Representation etc.