SPEECH ENHANCEMENT USING MACHINE LEARNING ALGORITHM

This paper focuses on leveraging deep representation learning (DRL) for speech enhancement (SE).In recent years, deep learning has shown great promise in a variety of signal processing tasks, including audio signal enhancement.In this paper, we propose a deep learning-based noise filtering algorithm for audio signals.The aim of speech denoising is to remove noise from speech signals while enhancing the quality and intelligibility of speech.Machine learning, a part of artificial intelligence, is recently used in speech enhancement algorithms (SE).The primary focus of SE is finding the original speech signal from the distorted one.Specifically, deep learning is used in SE because it handles nonlinear mapping problems for complicated features.