Feature selection through orthogonal expansion in isolated word recognition

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/85702

dc.contributor	Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
dc.contributor.author	Lleida Solano, Eduardo
dc.contributor.author	Mariño Acebal, José Bernardo
dc.date	1989
dc.identifier.citation	Lleida, E., Mariño, J.B. Feature selection through orthogonal expansion in isolated word recognition. A: Mediterranean Electrotechnical Conference. "MELECON '89: Mediterranean Electrotechnical Conference: April, 11-12-13, 1989: Forum Picoas, Lisboa". Lisboa: 1989, p. 253-256.
dc.identifier.citation	10.1109/MELCON.1989.50030
dc.identifier.uri	http://hdl.handle.net/2117/85702
dc.language.iso	eng
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject	speech
dc.subject	Data compression
dc.subject	Speech recognition
dc.subject	Parla
dc.title	Feature selection through orthogonal expansion in isolated word recognition
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	The use of an orthogonal expansion for feature selection and data compression in isolated word recognition is presented. Assuming that the spectral evolution, given by a LPC analysis, is a noisy measure in the sense that it is a linear combination of a set of real features, the objective of the orthogonal expansion is to find these real features. The new feature vectors are used to perform the recognition process. The recognition results as well as the meaning of the orthogonal expansion are discussed
dc.description.abstract	Peer Reviewed

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