Lingua: Inglese
Editore: LAP Lambert Academic Publishing, 2012
ISBN 10: 3848491907 ISBN 13: 9783848491902
Da: preigu, Osnabrück, Germania
EUR 43,30
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Speaker Identification using Transformation Techniques on Spectrogram | A New Approach to Text Dependent Speaker Identification | Shachi Natu (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848491902 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848491907 ISBN 13: 9783848491902
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 119,96
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848491907 ISBN 13: 9783848491902
Da: moluna, Greven, Germania
EUR 41,67
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Natu ShachiMs. Shachi Natu has received M.E.(Computer) degree from Mumbai University with distinction in 2010. She has 07 years of experience in teaching. Currently working as Assistant Professor in department of I.T. at Thadomal Sha.
Lingua: Inglese
Editore: LAP Lambert Academic Publishing, 2012
ISBN 10: 3848491907 ISBN 13: 9783848491902
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 49,59
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book tries to focus on a new approach to Text Dependent Speaker Identification. It describes how various transformation techniques can be applied on Spectrograms to identify speaker. It also evaluates and compares the efficiency of identification by applying transformation techniques like DCT, Walsh and Haar in different ways on spectrograms and by selecting different sizes of feature vectors.