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Question detection is of importance for many speech applications. Only parts of the speech utterances can provide useful clues for question detection. Previous work of question detection using acoustic features in Mandarin conversation is weak in capturing such proper time context information, which could be modeled essentially in recurrent neural network (RNN) structure. In this paper, we conduct an investigation on recurrent approaches to cope with this problem. Based on gated recurrent unitdoi:10.1109/icassp.2016.7472854 dblp:conf/icassp/TangHWMXC16 fatcat:2w44it2j3nccrkh5xvgvpjhtey