Abstract
In this paper, a speaker independent isolated word recognition system based on hidden Markov models (HMM) having a vocabulary of 12 Turkish words is presented. Several LPC representations are tested as feature vectors and the obtained results are compared.
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References
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© 1995 Springer-Verlag Berlin Heidelberg
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Tüzün, Ö.B., Erzin, E., Demirekler, M., Memişoğlu, A.T., Uğur, M.S., Çetin, A.E. (1995). A Speaker Independent Isolated Word Recognition System for Turkish. In: Ayuso, A.J.R., Soler, J.M.L. (eds) Speech Recognition and Coding. NATO ASI Series, vol 147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-57745-1_17
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DOI: https://doi.org/10.1007/978-3-642-57745-1_17
Publisher Name: Springer, Berlin, Heidelberg
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