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 [BibTeX] [Marc21]
Indexing Audio Documents by using Latent Semantic Analysis and SOM
Type of publication: Idiap-RR
Citation: kurimo-wsom99
Number: Idiap-RR-13-1999
Year: 1999
Institution: IDIAP
Note: Published in ``Kohonen Maps'', Elsevier, 1999
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
Crossref by kurimo-wsom99b
Added by: [UNK]
Total mark: 0
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