EFFICIENT ALGORITHM FOR SPEECH ENHANCEMENT USING DIFFERENT ADAPTIVE FILTER

Abstract

Enhancement means the improvement in the value or quality of something, when applied to speech, this simply means the improvement in intelligibility and/or quality of a degraded speech signal by using signal processing tools. The enhancement of noisy speech is a challenging research field with numerous applications. The speech enhancement is one of the effective techniques to solve speech degraded by noise, that the speech recognitions performance in noisy environment should be investigated. In this paper, we investigated the speech enhancement by applying adaptive LMS, NLMS and UNANR filter with different communication channel and amplitude modulation. The noise removal is very important in many applications like telephone conversation, image transformation and speech recognition, etc. The corruption of speech due to presence of additive background noise causes severe difficulties in various communication environments. Compression and analyze the performance of LMS, NLMS and UNANR on the basis of SNR V/S SNR present in this paper