Increasing Accuracy of Speech Recognition Applications on Windows platform using .net framework

Abstract

The intention behind developing speech recognition applications is to automate tasks. That is by accurately recognizing the user's input and taking action accordingly. There are many algorithms and techniques that one can apply in developing an ASR system, however the development resources play main factor in choosing these techniques. This paper focuses on .net framework as the main development resource and compares the possible approaches on designing ASR systems using this development resource. From this comparison the most effective and accurate one will be selected. Finally, we propose a method in designing an ASR system using .net framework that results in highest accuracy.