Keyword Spotting Using the Lattice Intersection Fusion

In modern keyword spotting implementation, lattice combining is a useful method. Regrettably, it can result in massive redundant information which leads to a slow indexing. This paper propose a keyword spotting method based on lattice intersecting. Firstly, we take the intersection of two lattices, and combining the acoustic score and language score on the same path. Secondly, in order to solve the problem of gaps in the intersection lattice, we use the best single lattice to supplement it. Finally, the intersection lattice will be used for retrieval. With intersection lattice, it utilized the scores of each sub lattice. Without degrading the lattice coverage accuracy, it substantially eliminated redundant information and decreased indexing volume. The experimental results show that keyword spotting can improve 5.3% quality compared to lattice combining referred to keyword spotting ATWV indicator.