activity
20102017
most citedVoice Recognition Algorithms using Mel Frequency Cepstral Coefficient (MFCC) and Dynamic Time Warping (DTW) Techniques

819 citations · 839 across the 4 of their papers we have counts for

collaborators

6 papers

cs.AI2017

Multiobjective Optimization of Solar Powered Irrigation System with Fuzzy Type-2 Noise Modelling

T. Ganesan, P. Vasant, I. Elamvazuthi

Optimization is becoming a crucial element in industrial applications involving sustainable alternative energy systems. During the design of such systems, the engineer/decision mak…

cs.NE2016

Swarm Intelligence for Multiobjective Optimization of Extraction Process

T. Ganesan, I. Elamvazuthi, P. Vasant

Multi objective (MO) optimization is an emerging field which is increasingly being implemented in many industries globally. In this work, the MO optimization of the extraction proc…

cs.MM2010★ 819 cited

Voice Recognition Algorithms using Mel Frequency Cepstral Coefficient (MFCC) and Dynamic Time Warping (DTW) Techniques

Lindasalwa Muda, Mumtaj Begam, I. Elamvazuthi

Digital processing of speech signal and voice recognition algorithm is very important for fast and accurate automatic voice recognition technology. The voice is a signal of infinit…

cs.NE2010★ 20 cited

Fuzzy-based Navigation and Control of a Non-Holonomic Mobile Robot

Razif Rashid, I. Elamvazuthi, Mumtaj Begam +1

In recent years, the use of non-analytical methods of computing such as fuzzy logic, evolutionary computation, and neural networks has demonstrated the utility and potential of the…

cs.AI2010

The Application of Mamdani Fuzzy Model for Auto Zoom Function of a Digital Camera

I. Elamvazuthi, P. Vasant, J. F. Webb

Mamdani Fuzzy Model is an important technique in Computational Intelligence (CI) study. This paper presents an implementation of a supervised learning method based on membership fu…

cs.AI2010

Application of a Fuzzy Programming Technique to Production Planning in the Textile Industry

I. Elamvazuthi, T. Ganesan, P. Vasant +1

Many engineering optimization problems can be considered as linear programming problems where all or some of the parameters involved are linguistic in nature. These can only be qua…