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The effect of language models on phonetic decoding for spoken term detection
2009
Proceedings of the third workshop on Searching spontaneous conversational speech - SSCS '09
Spoken term detection (STD) popularly involves performing word or sub-word level speech recognition and indexing the result. This work challenges the assumption that improved speech recognition accuracy implies better indexing for STD. Using an index derived from phone lattices, this paper examines the effect of language model selection on the relationship between phone recognition accuracy and STD accuracy. Results suggest that language models usually improve phone recognition accuracy but
doi:10.1145/1631127.1631132
fatcat:n4grdwnjr5fkjgokvlzsemthtm