Existing methods for keyphrase extraction need preprocessing to generate candidate phrase or post-processing transform keyword into keyphrase. In this paper, we propose a novel approach called duration modeling with semi-Markov Conditional Random Fields (DM-SMCRFs) extraction. First of all, based on the property chain, DM-SMCRFs can encode segment-level features and sequentially classify in sen...

In this paper we study the cross-language speech emotion recognition using high-order Markov random fields, especially the application in Vietnamese speech emotion recognition. First, we extract the basic speech features including pitch frequency, formant frequency and short-term intensity. Based on the low level descriptor we further construct the statistic features including maximum, minimum,...