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 [BibTeX] [Marc21]
Indexing Audio Documents by using Latent Semantic Analysis and SOM
Type of publication: Book chapter
Citation: kurimo-wsom99b
Booktitle: Kohonen Maps
Year: 1999
Publisher: Elsevier
Note: IDIAP-RR 99-13
Crossref: kurimo-wsom99:
Abstract: This paper describes an important application for state-of-art automatic speech recognition, natural language processing and information retrieval systems. Methods for enhancing the indexing of spoken documents by using latent semantic analysis and self-organizing maps are presented, motivated and tested. The idea is to extract extra information from the structure of the document collection and use it for more accurate indexing by generating new index terms and stochastic index weights. Indexing methods are evaluated for two broadcast news databases (one French and one English) using the average document perplexity defined in this paper and test queries analyzed by human experts
Userfields: ipdmembership={speech},
Projects Idiap
Authors Kurimo, Mikko
Editors Oja, Erkki
Kaski, Samuel
Added by: [UNK]
Total mark: 0
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