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Keyword spotting based on large vocabulary continuous speech recognition (LVCSR) is the main researching direction of keyword spotting field. Lattice as the middle result of LVCSR, is often used in this system. But because of its big size, the performance is not efficient as we expect to be. In this paper, lattice was optimized by confusion network (CN) to achieve higher recall rate and lower error rate. And the study on algorithms of keyword confusion network generation was expanded. In the system, the proposed algorithm increased the recall rate of confusion network to 87.11%, while it was 65.46% with N-best.

Study on Algorithms of Keyword Confusion Network Generation