A novel feature extraction method for isolated word recognition based on Nested Temporal Averaging

A novel feature extraction method for isolated word recognition based on Nested Temporal Averaging

A novel preprocessing method is proposed. It has a reduced complexity and therefore is aimed to be used in low power, VLSI implemented, speech recognizers. Our algorithm extracts a feature vector made from up to 3 feature vectors, each coming from a particular variable length speech sequence. The se...

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Bibliographic Details
Main Authors: Radu DOGARU, Gabriel Nicolae COSTACHE, Octavian DUMITRU, Inge GAVAT
Format: Article
Language:English
Published: Universitatea Dunarea de Jos 2006-12-01
Series:Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică
Subjects:
Speech recognition
Pattern classification
Neural Networks
Support Vector Machines
Online Access:http://www.ann.ugal.ro/eeai/archives/2006/Lucrare-07-Dogaru.pdf

Internet

http://www.ann.ugal.ro/eeai/archives/2006/Lucrare-07-Dogaru.pdf

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