Speech Enhancement using Spectral Subtraction
N. Siddiah · IOSR Journal of Engineering · 2012
This paper address several problems associated with Automatic Speech Recognition Systems (ASR) and study a speech enhancement technique that could possibly reduce the inefficiencies that ASR systems encounter.Spectral Subtraction (SS) is a method used to reduce the amount of noise acoustically added in the speech signals.Our goal is to implement the SS algorithm to provide speech enhancement while researching Automatic Speech Recognition, to discover whether SS can enhance the efficiency of ASR systems.Spectral Subtraction is an algorithm designed to reduce the degrading effects of noise acoustically added in speech signals.This paper focuses on the removal of white noise in speech signals, and attempts to explain how SS can improve ASR systems.The importance of the SS method over other methods is also explored.As our day-to-day lives become more complicated, ASR provides a hands free way to complete a variety of duties by simply speaking.Used effectively ASR systems can optimize most tasks and allow a user to complete them at a rate that is substantially faster.In addition these systems can enhance the way the hearing impaired communicate, improve security, and can provide authentication for many applications.For these and many more reasons, there is an obvious requirement for adequate ASR systems and their integration into our everyday life.