A Multiple Classifier System for Automatic Speech Recognition

Provided by: International Journal of Computer Applications
Topic: Enterprise Software
Format: PDF
Multiple Classifier System (MCS) is designed by combining two or more classifiers. MCS helps in increasing the accuracy of classification compared to the performance of the individual classifier. In this paper, multiple classifier system is implemented for automatic speech recognition. The combined classifier takes the final decision on predicted class label using a class label fuser (also called as classifier fuser). The class label fuser uses the predicted class labels of the two classifiers i.e. Hidden Markov Model (HMM) and Support Vector Machines (SVMs) and also involves the Dynamic Time Warping (DTW) technique for the final decision on the predicted label.

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