Journal of Applied Sciences ›› 2014, Vol. 32 ›› Issue (2): 149-155.doi: 10.3969/j.issn.0255-8297.2014.02.006

• Signal and Information Processing • Previous Articles     Next Articles

Keyword Detection Based on Dynamic Match Lattice Spotting

ZHENG Yong-jun, ZHANG Lian-hai   

  1. Institute of Information Systems Engineering, Information Engineering University, Zhengzhou 450002, China
  • Received:2013-07-15 Revised:2013-10-22 Online:2014-03-25 Published:2013-10-22

Abstract: The large amount of speech data requires techniques for rapid and accurate search. This paper proposes a keyword spotting method based on dynamic match Lattice spotting (DMLS). It generates more accurate phone Lattice with TRAP features and multilayer perceptron, and performs a modified Viterbi traversal to compile a database of fixed-length phone sequences in speech indexing. In the searching stage, a minimum edit distance is used as the confidence score to implement the keyword spotting. Tests show that the proposed method is superior to baseline systems with MFCC and PLP features with the recall rate improved by about 5%.

Key words: keyword spotting, dynamic match Lattice spotting, TRAP feature, minimum edit distance

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