Abstract
In this work, a new phonemes recognition system is proposed. The base of decision of the proposed system is the tongue position and roundedness of the lips. The features of the speech are the coefficients of Wavelet Packet Transform with sub-bands selected through the Mel scale. The SVM (Support Vector Machine) is used as classifier in the structure of a Hierarchical Committee Machine. The database used for the recognition was a set of oral vocalic phonemes of the Portuguese language. The experimental results show success rates of 97.50% for the user-dependent case and 91.01% for the user-independent case. This new proposal increased 3.5% the success rate in relation to the “one vs. all” decision strategy.
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de A. Bresolin, A., Neto, A.D.D., Alsina, P.J. (2006). A New Hierarchical Decision Structure Using Wavelet Packet and SVM for Brazilian Phonemes Recognition. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4233. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893257_18
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DOI: https://doi.org/10.1007/11893257_18
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