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- W1590660747 abstract "A corrective training algorithm for hidden control neural network (HCNN) is proposed in this paper with application to the isolated spoken Korean digit recognition. The proposed algorithm tries to heuristically minimize the number of recognition errors, which improves the discriminatory power of the conventional HCNN-based speech recognizers. Experimental results showed 25% reduction for closed test, and 10% reduction for open test in the number of recognition errors." @default.
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- W1590660747 date "2002-11-19" @default.
- W1590660747 modified "2023-09-26" @default.
- W1590660747 title "Corrective training of hidden control neural network" @default.
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- W1590660747 doi "https://doi.org/10.1109/icnn.1995.488189" @default.
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