Professor Detey co-authored a paper with his GSICCS PhD student Shinyoung Kim presented at the Asia Pacific Signal and Information Processing Association Annual Summit and Conference 2022 (APSIPA ASC 2022, Chiang Mai, Thailand, 7-10/11/2022) with Lionel Fontan (Archean Labs, Montauban, France) & Verdiana De Fino (Archeant Labs & IRIT, Toulouse III University, Toulouse, France), entitled “Predicting speech fluency in children using automatic acoustic features”. The study aimed at predicting the speech fluency of children using automatic acoustic measures derived from forward-backward divergence segmentation (FBDS). Thirteen Korean children were recorded while reading out loud a set of sentences. Three native-Korean speakers evaluated the fluency of each sentence on a five-point scale. A FBDS algorithm was used to segment speech recordings into sub-phonemic units and silent segments. The paper can be read here.
