Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659335592 ISBN 13: 9783659335594
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 172.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659335592 ISBN 13: 9783659335594
Da: preigu, Osnabrück, Germania
EUR 60,95
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Automatic Speaker and Speech Recognition | For embedded systems | Joke Badejo (u. a.) | Taschenbuch | 172 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659335594 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jul 2013, 2013
ISBN 10: 3659335592 ISBN 13: 9783659335594
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 71,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Automatic speech recognition and speaker recognition have a lot of applications in personal identification, access control and in the new man-machine-interface paradigm. The existing applications in voice-activated embedded systems solve the problem of recognition of the spoken words only or the problem of recognition of a speaker through the words uttered only. The goal of this project, therefore, is the development of a robust algorithm for both speech recognition and speaker verification. An example of a target application of this work is speech dialing of mobile phones with a speaker verification front-end in order to effect access control. In view of the memory and computational constraints of embedded systems, the dynamic time warping algorithm is used. This project only considers isolated spoken digits. The developed algorithm is coded in C language and can be ported to firmware for Arabic numeral digit recognition with a speaker verification front end for an embedded system like mobile phones. The system produced a FAR of 13.33% and a FRR of 24.3% for a total of 70 true claims and 30 false claims. It also had a word accuracy of 96.7%. 172 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659335592 ISBN 13: 9783659335594
Da: moluna, Greven, Germania
EUR 58,12
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: Badejo JokeJoke Badejo is a researcher with EIE Biometrics Research cluster in the Department of Elect.&Info Engrg., Covenant University, Nigeria. She holds M.Eng in Computer Engineering and is currently pursuing a PhD in the area of.
Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659335592 ISBN 13: 9783659335594
Da: Majestic Books, Hounslow, Regno Unito
EUR 113,20
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 172 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659335592 ISBN 13: 9783659335594
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 114,39
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 172.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jul 2013, 2013
ISBN 10: 3659335592 ISBN 13: 9783659335594
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 71,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Automatic speech recognition and speaker recognition have a lot of applications in personal identification, access control and in the new man-machine-interface paradigm. The existing applications in voice-activated embedded systems solve the problem of recognition of the spoken words only or the problem of recognition of a speaker through the words uttered only. The goal of this project, therefore, is the development of a robust algorithm for both speech recognition and speaker verification. An example of a target application of this work is speech dialing of mobile phones with a speaker verification front-end in order to effect access control. In view of the memory and computational constraints of embedded systems, the dynamic time warping algorithm is used. This project only considers isolated spoken digits. The developed algorithm is coded in C language and can be ported to firmware for Arabic numeral digit recognition with a speaker verification front end for an embedded system like mobile phones. The system produced a FAR of 13.33% and a FRR of 24.3% for a total of 70 true claims and 30 false claims. It also had a word accuracy of 96.7%.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 172 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659335592 ISBN 13: 9783659335594
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 71,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Automatic speech recognition and speaker recognition have a lot of applications in personal identification, access control and in the new man-machine-interface paradigm. The existing applications in voice-activated embedded systems solve the problem of recognition of the spoken words only or the problem of recognition of a speaker through the words uttered only. The goal of this project, therefore, is the development of a robust algorithm for both speech recognition and speaker verification. An example of a target application of this work is speech dialing of mobile phones with a speaker verification front-end in order to effect access control. In view of the memory and computational constraints of embedded systems, the dynamic time warping algorithm is used. This project only considers isolated spoken digits. The developed algorithm is coded in C language and can be ported to firmware for Arabic numeral digit recognition with a speaker verification front end for an embedded system like mobile phones. The system produced a FAR of 13.33% and a FRR of 24.3% for a total of 70 true claims and 30 false claims. It also had a word accuracy of 96.7%.