Coalescence Type based Confidence Warping for Agglutinative Language Keyword Spotting
Xu Ji, Yeming Xiao, Jielin Pan, Yonghong Yan · Journal of Software · 2014
Abstract—In agglutinative languages like Korean, words are formed by joining l affix morphemes to the stem, which leads to high OOV rate in dictionary building. Hence, sub-word units are usually used as basic language modeling units in Large-Vocabulary Continuous Speech Recognition (LVCSR) or LVCSR based applications such as keyword spotting. In this work, firstly a new word property called coalescence type is introduced, which is defined based on the result of word segmentation process and thus unique for agglutinative languages. A confidence warping approach is