Spoken Term Detection Using Dynamic Match Subword Confusion Network

Abstract

This paper details our subword confusion network based approach for Mandarin spoken term detection. As well as the system description, two approaches are presented for improvement of our baseline system. To reduce the inherent high recognition error of the subword decoding system due to its weak language model constraints, the subword confusion network is… (More)

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Cite this paper

@article{Gao2008SpokenTD, title={Spoken Term Detection Using Dynamic Match Subword Confusion Network}, author={Jie Gao and Jian Shao and Qingqing Zhang and Qingwei Zhao and Yonghong Yan}, journal={2008 Fourth International Conference on Natural Computation}, year={2008}, volume={4}, pages={250-254} }