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The application of polynomial discriminant function classifiers to isolated arabic speech recognition
Khasawneh M., , Sweidan W., Haddad M.
Published in IEEE
Volume: 4
Pages: 3077 - 3081
In this paper, we apply polynomial discriminant function classifiers for isolated-word speaker-independent Arabic digit recognition. The performance of the polynomial classifier is evaluated for different implementations. We also provide a performance comparison between the polynomial classifier and Dynamic Time Warping (DTW). The polynomial classifier is found to outperform DTW in many aspects such as recognition rate, and computational and memory requirements.
About the journal
JournalData powered by Typeset2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)
PublisherData powered by TypesetIEEE
Open AccessNo