Subword-based approaches for spoken document retrieval
Subword-based approaches for spoken document retrieval
Cross-domain matching for automatic tag extraction across redundant handwriting and speech events
Proceedings of the 2007 workshop on Tagging, mining and retrieval of human related activity information
Spoken term detection system based on combination of LVCSR and phonetic search
MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
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This paper presents two approaches to spoken document retrieval—search in LVCSR recognition lattices and in phoneme lattices For the former one, an efficient method of indexing and search of multi-word queries is discussed In phonetic search, the indexation of tri-phoneme sequences is investigated The results in terms of response time to single and multi-word queries are evaluated on ICSI meeting database.