CUHK System for QUESST Task of MediaEval 2014
Haipeng Wang, Tan Lee · 2014
This paper describes a spoken keyword search system de-veloped at the Chinese University of Hong Kong (CUHK) for the query by example search on speech (QUESST) task of MediaEval 2014. This system utilizes posterior features and dynamic time warping (DTW) for keyword matching. Multiple types of posterior features are generated with dif-ferent tokenizers, and then fused by a linear combination on the DTW distance matrices. The main contribution of this year’s system is a multiview segment clustering (MSC) ap-proach for unsupervised ASM tokenizer construction. The Cnxe and ATWV of our submitted results on the Evaluation set are 0.682 and 0.412, respectively. 1.