Improved lattice-based speech keyword spotting algorithm

XIAO Xi; WANG Jingqian

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Journal of Tsinghua University(Science and Technology) ›› 2015, Vol. 55 ›› Issue (5) : 508-513.

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Improved lattice-based speech keyword spotting algorithm

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Abstract

An improved lattice-based speech keyword spotting system was developed from the Gaussian mixture model and an improved N-best speech recognition algorithm. First, tests were used to evaluate different simplified structures of Gaussian mixture models. Then, an N-best token passing algorithm was developed from the classic token passing algorithm using some unique pronunciation rules for the Chinese language. These two modifications improve the performance of both the 1-best and N-best speech recognition candidates. Finally, a key word spotting system was developed based on an N-best lattice to show the effectiveness of these improvements.

Key words

speech keyword spotting / multi-candidate lattice / Gaussian mixture model / compute unified device architecture (CUDA) / triphone model

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XIAO Xi, WANG Jingqian. Improved lattice-based speech keyword spotting algorithm[J]. Journal of Tsinghua University(Science and Technology). 2015, 55(5): 508-513

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