On Improving Discriminability amaong Acoustically Similar Words by Modified Distance Metric

변형된 거리척도에 의한 음향학적으로 유사한 단어들 사이의 변별력 개선

In a template-matchig-based speech recognition syste, 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.