Abstract
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. © Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Burget, L., Černocký, J., Fapšo, M., Karafiát, M., Matějka, P., Schwarz, P., … Szöke, I. (2006). Indexing and search methods for spoken documents. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4188 LNCS, pp. 351–358). Springer Verlag. https://doi.org/10.1007/11846406_44
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