Non Stationary Noise Removal from Speech Signals using Variable Step Size Strategy
Journal Title: International Journal of Computer Science and Communication Networks - Year 2011, Vol 1, Issue 1
Abstract
The aim of this paper is to implement various adaptive noise cancellers (ANC) for speech enhancement based on gradient descent approach, namely the least-mean square (LMS) algorithm and then enhanced to variable step size strategy. In practical application of the LMS algorithm, a key parameter is the step size. As is well known, if the step size is large, the convergence rate of the LMS algorithm will be rapid, but the steady-state mean square error (MSE) will increase. On the other hand, if the step size is small, the steady state MSE will be small, but the convergence rate will be slow. Thus, the step size provides a trade-off between the convergence rate and the steady-state MSE of the LMS algorithm. An intuitive way to improve the performance of the LMS algorithm is to make the step size variable rather than fixed, that is, choose large step size values during the initial convergence of the LMS algorithm, and use small step size values when the system is close to its steady state, which results in Variable Step Size LMS (VSSLMS) algorithms. By utilizing such an approach, both a fast convergence rate and a small steady-state MSE can be obtained. By using this approach various forms of VSSLMS algorithms are implemented. These are robust variable step-size LMS (RVSSLMS) algorithm providing fast convergence at early stages of adaptation and modified robust variable step-size LMS (MRVSSLMS) algorithm. The performance of these algorithms is compared with conventional LMS and Kowngs VSSLMS algorithm. Finally we applied these algorithms on speech enhancement application. Simulation results confirms that the implemented RVSSLMS and MRVSSLMS are superior than conventional algorithms in terms of convergence rate and signal to noise ratio improvement (SNRI).
Authors and Affiliations
K. Prameela , M. Ajay Kumar , Mohammad Zia-Ur-Rahman , Dr B V Rama Mohana Rao
Keywords
Related Articles
- EP ID EP97476
- DOI -
- Views 180
- Downloads 0
Reduction of THD in Power Systems using STATCOM
In this paper, an operation methodology of a STATCOM (Static Synchronous Compensator) is proposed for reduction in Total Harmonic Distortion (THD) in power systems. For achieving this objective a comparison is made betwe...
E-mail Spam Classification With Artificial Neural Network and Negative Selection Algorithm
This paper apply neural network and spam model based on Negative selection algorithm for solving complex problems in spam detection. This is achieved by distinguishing spam from non-spam (self from non-self)....
Various Authentication Tecniques for Security Enhancement
Authentication is the art of confirming the truth of an attribute of an entity. Entity may be a person. If a entity is a person it can authenticate with the help of its traits such as his facial attribute, fingerprinting...
Intelligent Public Transport System with Information Forensics and Security
To increase the usability of a public transport system it needs to go under revolutionary changes in its operating procedure. It is an attempt to make this possible using recent computer technology, mobile computin...
Implementation of Session- State -Service -A Framework for P2P Network
Peer-to-Peer systems have become, in a short period of time, one of the fastest growing and most popular applications. The decentralized and distributed nature of P2P systems leads to living aside the client-...