A Review: Speech Separation Techniques and Its Applications

Abstract

A fundamental task in signal processing, speech separation has many practical applications. For example, it can be used to improve the accuracy of automatic speech recognition by separating clear speech from noisy speech signals. When all that is available is a monaural recording of mixed speech, the task of extracting distinct sources from a complex mixture appears to be challenging for automatic calculation systems, in contrast to the remarkable ability of the human auditory system to do so. Monaural speech separation poses numerous challenges, but over the years, numerous attempts have been made in prior works to address this issue. Within the study that is being presented, we offer an extensive analysis of current research on speech separation and its uses.