Spoken term detection based on DTW

doi:10.16511/j.cnki.qhdxxb.2017.21.004

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Abstract Spoken term detection (STD) for low resource languages has drawn much interest. A partial matching strategy based on phoneme boundaries is presented here to solve the fuzzy matching problem in query-by-example spoken term detection with dynamic time warping. A variety of features were used to validate the strategy on the QUESST 2014 dataset. Tests show that this strategy is not only quite effective for fuzzy match tasks T2 and T3 but also effective for the exact match task T1. This strategy has significantly improved performance in fusion tests.

Keywords spoken term detection low resource languages dynamic time warping partial matching

ZTFLH:

TP391.3

Issue Date: 15 January 2017

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	Articles by authors

	HOU Jingyong
	XIE Lei
	YANG Peng
	XIAO Xiong
	LEUNG Cheung-Chi
	XU Haihua
	WANG Lei
	LV Hang
	MA Bin
	CHNG EngSiong
	LI Haizhou

Cite this article:

HOU Jingyong,XIE Lei,YANG Peng, et al. Spoken term detection based on DTW[J]. Journal of Tsinghua University(Science and Technology), 2017, 57(1): 18-23.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2017.21.004 OR http://jst.tsinghuajournals.com/EN/Y2017/V57/I1/18

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