Study on Mask Estimation & Artificial Neural Network for Speech Enhancement: A Review

Abstract: Speech enhancement technology can extract the speech signal in noise environment and enhance the recognition rate. As the current speech enhancement algorithms can give results for improved speech audibility only. So, our main motivation is to develop speech enhancement algorithm that would improve performance in speech. It is difficult to understand the speech signal under presence of noise from background areas. The human speech and hearing system is inherently sensitive to interfering noise. 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 review on method for speech enhancement using mask estimation iteratively. In this work, it will provide the concept of optimization of cost function by iterative method. This will help for reducing the noise from signal. All simulations will be implemented in MATLAB.

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