Abstract
Isolated word recognition is usually performed by two dieren t approaches, viz., Conventional Templatebased and Hidden Markov Models (HMM)-based. A comparison between these approaches for isolated digit recognition (in Spanish language) is performed in this paper. For the template-based approach, several Dynamic Time Warping algorithms are proposed and implemented in a Matlab environment, while for the HMM-based approach, the algorithms available in a freeware toolbox has been employed. The algorithms are tested on a database collected during a Course on Digital Processing of Speech Signals at the University of Rosario. The test results show that a better performance can be obtained with a HMM-based digit recognizer.
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