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Fusing multiple systems into a compact lattice index for chinese spoken term detection

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4 Author(s)
Sha Meng ; Dept. of Electron. Eng., Tsinghua Univ., Beijing ; Peng Yu ; Jia Liu ; Seide, F.

We examine the task of spoken term detection in Chinese spontaneous speech with a lattice-based approach. We first compare lattices generated with different units: word, character, tonal and toneless syllables, and also lattices converted from one unit to another unit. Then we combine lattices from multiple systems into a single lattice. By fully exploiting the redundant information in the combined lattice with a time-based node/arc merging, we achieve the result of a compact lattice index with the accuracy improved to 79.2% from 73.9% using the best subsystem.

Published in:

Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on

Date of Conference:

March 31 2008-April 4 2008