SPOKEN DOCUMENT SUMMARIZATION BASED ON DYNAMIC TIME WARPING AND WAVELETS

Autor:	Paulo Rogério Scalassara, Lucimar Sasso Vieira, Fabrício Lopes Sanchez, Rodrigo Capobianco Guido, Sylvio Barbon Junior, José Carlos Pereira, Carlos Dias Maciel, Vitor Muller Puia
Rok vydání:	2007
Předmět:	Scheme (programming language) Discrete wavelet transform Document summarization Linguistics and Language Dynamic time warping Computer Networks and Communications business.industry Computer science Speech recognition TIMIT Speech corpus Pattern recognition Automatic summarization Computer Science Applications Wavelet Artificial Intelligence Artificial intelligence business computer Software Information Systems computer.programming_language
Zdroj:	International Journal of Semantic Computing. :347-357
ISSN:	1793-7108 1793-351X
DOI:	10.1142/s1793351x07000214
Popis:	This work presents a spoken document summarization (SDS) scheme that is based on an improved version of the Dynamic Time Warping (DTW) algorithm, and on the Discrete Wavelet Transform (DWT). Tests and results with sentences extracted from TIMIT speech corpus show the efficacy of the proposed technique.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1984f0baaf507210d8e9073575c3c2f1 https://doi.org/10.1142/s1793351x07000214 Zobrazit plný text záznamu