International Journal of Intelligent Systems and Applications (IJISA)
IJISA Vol. 8, No. 12, 8 Dec. 2016
Cover page and Table of Contents: PDF (size: 339KB)
Author(s)
Ravi Kumar. K
1,*
P.V. Subbaiah
2
Index Terms
Wiener filter, Bayesian Estimators, Super Gaussian priors, Nonnegative Matrix Factorization (NMF), Hidden Markov Model (HMM), Phase Processing
Abstract
Speech enhancement is a technique which processes the noisy speech signal. The aim of speech enhancement is to improve the perceived quality of speech and/or to improve its intelligibility. Due to its vast applications in mobile telephony, VOIP, hearing aids, Skype and speaker recognition, the challenges in speech enhancement have grown over the years. It is more challenging to suppress back ground noise that effects human communication in noisy environments like airports, road works, traffic, and cars. The objective of this survey paper is to outline the single channel speech enhancement methodologies used for enhancing the speech signal which is corrupted with additive background noise and also discuss the challenges and opportunities of single channel speech enhancement. This paper mainly focuses on transform domain techniques and supervised (NMF, HMM) speech enhancement techniques. This paper gives frame work for developments in speech enhancement methodologies.
Cite This Paper
Ravi Kumar. K, P.V. Subbaiah, "A Survey on Speech Enhancement Methodologies", International Journal of Intelligent Systems and Applications (IJISA), Vol.8, No.12, pp.37-45, 2016. DOI:10.5815/ijisa.2016.12.05
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