Title :
A study of lattice-based spoken term detection for Chinese spontaneous speech
Author :
Meng, Sha ; Yu, Peng ; Seide, Frank ; Liu, Jia
Author_Institution :
Tsinghua Univ., Beijing
Abstract :
We examine the task of spoken term detection in Chinese spontaneous speech with a lattice-based approach. We compare lattices generated with different units: word, character, tonal syllable and toneless syllable, and also look into methods of converting lattices from one unit to another one. We find the best system is with toneless-syllable lattices converted from word lattices. Further improvement is achieved by lattice post-processing and system combination. Our best system has an accuracy of 80.2% on a keyword spotting task.
Keywords :
indexing; information retrieval; speech processing; speech recognition; Chinese spontaneous speech recognition; keyword spotting task; lattice-based speech indexing; lattice-based spoken term detection; spoken document retrieval; toneless-syllable lattice; word lattice; Asia; Broadcasting; Character generation; Indexing; Information science; Laboratories; Lattices; Natural languages; Robustness; Speech recognition; keyword spotting; lattice; posterior; speech indexing;
Conference_Titel :
Automatic Speech Recognition & Understanding, 2007. ASRU. IEEE Workshop on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-1746-9
Electronic_ISBN :
978-1-4244-1746-9
DOI :
10.1109/ASRU.2007.4430186
