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Improving discriminability among acoustically similar words by modified distance metric

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2 Author(s)
Kim, H.S. ; Korea Adv. Inst. of Sci. & Technol., Seoul ; Lin, C.-K.

In a template-matching based speech recognition system excessive weight given to perceptually unimportant spectral variations is undesirable for discriminating among acoustically similar words. By introducing a simple threshold-type nonlinearity applied to the distance metric, the word recognition performance can be improved for a vocabulary with similar sounding words, without modifying the system structure

Published in:

Electronics Letters  (Volume:24 ,  Issue: 3 )